Top Video Annotation Outsourcing Companies in Colombia

mins read
Nov 12, 2025
Ann

In the bustling world of AI development, getting video data properly labeled isn't just a checkbox, it's what makes models see the world right. Colombia's scene for outsourcing this work has grown quietly but steadily, drawing on local talent pools and global know-how to handle everything from object tracking to action spotting in footage.

In this article, we spotlight standout top companies with strong operations in Colombia, each bringing their own spin to turning messy clips into sharp, trainable datasets. These players lean on nearshore advantages like easy time zone syncs and cultural shorthand, making the whole process feel more like an extension of your team than a vendor headache. We've zeroed in on those consistently showing up in industry chatter for reliable video work, from frame chases in traffic feeds to behavioral tags in store cams. No fluff - just solid options if you're ready to offload the labeling grind.

1. NeoWork

We at NeoWork are the ones who quietly build the video annotation teams that keep your AI from guessing. Our crew in Colombia sit down, open your footage, and start drawing boxes around moving forklifts, tagging when a shopper lingers too long by the snacks, or marking exactly when a nurse adjusts a patient’s arm. We also run the RLHF loops where humans tell your model “no, that answer was rude” or “yes, that summary nailed it,” so the next version actually gets better instead of just sounding confident.

What makes our clients breathe easier is that we don’t lose people every month. We keep most of our teammates year after year, and we only say yes to a tiny slice of the folks who apply. That means the person who learned your weird edge cases last week is still the same person fixing them this week. When companies decide to run their annotation work through Colombia, we just plug the same picky hiring and sticky retention into the local mix and the project keeps rolling like nothing changed.

Key Highlights:

  • 91% annualized teammate retention (way above industry average)
  • 3.2% candidate acceptance rate - we’re ridiculously picky
  • We can send you one annotator or an entire managed floor
  • Same QA, reporting, and Slack channel whether the team is five people or hundreds

Services:

  • Frame-by-frame bounding boxes, polygons, and keypoints on video
  • Activity recognition for retail heatmaps and warehouse safety
  • Full RLHF pipeline - red-teaming, reward modeling, feedback collection
  • Dataset curation and cleaning before you ever see the files
  • Managed ops package: we handle scheduling, payroll, and the 3 am fire drills

Contact and Social Media Information:

2. Conectys

Conectys handles data annotation through a network of freelance workers spread across various spots, tackling tasks like labeling visuals for machine learning setups. Their approach starts with mapping out what a project needs, then moves into hands-on processing where teams sort and tag content, followed by checks to keep things consistent before wrapping up with a smooth handover. When it comes to video work, they cover basics like spotting objects frame by frame or classifying whole clips, all while weaving in audio tags or text pulls where it fits.

This setup lets them adapt to different file types, from quick clips to longer streams, using tools like bounding boxes or polygons to outline shapes precisely. They also dip into more detailed stuff, such as tracing movements over time or breaking down scenes into pixel-level categories. For teams looking to build reliable AI without building their own labeling crews, Conectys rolls out these options in places like Colombia, where local operations help bridge time zones and cultural nuances for smoother collaborations.

Key Highlights:

  • Support for a wide array of languages in labeling tasks
  • Certifications covering quality management, information security, and data protection standards
  • Flexible pricing options tailored to project volume or outcomes
  • Recognition in customer service and outsourcing awards over the years

Services:

  • Image and video labeling for object recognition
  • Audio tagging, transcription, and classification
  • Bounding box and polygon annotations
  • Text extraction and document digitization
  • Object tracking and action recognition in videos
  • Semantic and instance segmentation
  • Keypoint and polyline annotations for poses and structures

Contact and Social Media Information:

  • Website: www.conectys.com
  • E-mail: info@conectys.com
  • Twitter: x.com/Conectys
  • LinkedIn: www.linkedin.com/company/conectys
  • Address: 44 Sergent Nutu Ion, One Cotroceni Park Offices, Building A, 2nd floor, District 5, 050762 Bucharest, Romania

3. Annotera

Annotera focuses on turning raw video feeds into structured datasets, using a mix of human reviewers and steady processes to flag elements like movements or key events across frames. Their workflow kicks off with nailing down guidelines based on what the end goal is, then layers in reviews to catch slip-ups, and scales up as datasets grow. Video annotation here often involves marking paths for objects or categorizing activities, which feeds directly into training for things like surveillance cams or self-driving tech.

Beyond just videos, they extend to related areas like image outlines or audio breakdowns, ensuring everything ties back to clearer AI performance. What stands out is how they keep things compliant and secure, with annotators looping in at critical steps to refine outputs. Companies tapping into this find it handy for Colombia-based projects too, where Annotera channels resources to support regional AI efforts without the usual setup hassles.

Key Highlights:

  • Over two decades of experience in outsourcing and data handling
  • Team of professional annotators following structured review cycles
  • Coverage across text, image, audio, and video modalities
  • Tailored workflows for industries like security, retail, and robotics

Services:

  • Frame-by-frame video labeling for tracking and recognition
  • Bounding boxes, polygons, and segmentation for objects
  • Activity and intent classification in footage
  • Multilingual audio transcription and tagging
  • Image categorization and entity labeling
  • Dataset preparation for computer vision models

Contact and Social Media Information:

  • Website: www.annotera.ai
  • E-mail: info@annotera.com
  • LinkedIn: www.linkedin.com/company/annotera

4. Superstaff

Superstaff puts together teams in Colombia that handle the nitty-gritty of getting video ready for AI training, basically drawing boxes around moving cars or marking when someone picks something up off a shelf. They deal with all the usual stuff like turning messy footage into clean labels that computers can actually learn from, whether it's spotting objects frame by frame or figuring out what action is happening over a few seconds. Clients end up with datasets they can plug straight into their models without wasting time fixing sloppy work.

A lot of their effort goes into keeping the labels consistent across huge batches of video, which matters when companies need to train systems that have to work in real stores or on actual roads. For outfits running projects that touch Colombia, Superstaff offers a straightforward way to get this done locally, letting internal teams stay focused on building the actual AI instead of babysitting annotation all day.

Key Highlights:

  • Teams trained on Python development alongside annotation work
  • Support for computer vision engineers who understand video flows
  • Nearshore setup that keeps hours aligned with North American teams
  • Mix of data scientists and ML engineers handling quality checks

Services:

  • Video frame labeling for object detection
  • Action recognition across longer clips
  • Bounding box and polygon work on moving objects
  • Data cleanup for retail and automotive footage
  • Prompt engineering tied to video context
  • Behavioral tagging for security or healthcare clips

Contact and Social Media Information:

  • Website: www.superstaff.com
  • Email: info@superstaff.com
  • Facebook: www.facebook.com/SuperStaffOutsourcing
  • Twitter: x.com/SuperStaffBPO
  • LinkedIn: www.linkedin.com/company/superstaffoutsourcing
  • Address: Street 7D #43A-40. Offices: 7-11, Medellin
  • Phone: 415-651-7494

5. Cynergy BPO

Cynergy BPO connects companies to annotation crews in Colombia that tag everything from surveillance clips to driving footage, making sure each frame carries the right info for the model. They handle the usual range - drawing lines around people walking, tracking cars through intersections, or pulling out specific behaviors security teams need to flag. The work flows through layers of checks so the final dataset doesn't have random mistakes that throw off training.

For North American teams especially, having annotators just a couple time zones away means quicker back-and-forth when something needs tweaking mid-project. Companies leaning on Colombia for this kind of work find Cynergy's setup lets them ramp up fast without dealing with overnight delays or language mix-ups that pop up farther offshore.

Key Highlights:

  • Nearshore crews working same-day hours as US teams
  • Multi-layer quality reviews built into every project
  • Direct integration with common annotation platforms
  • Domain focus on autonomous driving and security feeds

Services:

  • Object tracking across video sequences
  • LiDAR fusion with regular camera footage
  • Behavioral anomaly labeling for surveillance
  • 3D bounding boxes on moving objects
  • Semantic segmentation on street scenes
  • Video classification for threat detection

Contact and Social Media Information:

  • Website: www.cynergybpo.com
  • E-mail: john@cynergybpo.com
  • Phone: 866-201-3370  

6. Fusion CX

Fusion CX runs video annotation out of Colombia alongside their other locations, focusing on turning raw footage into the kind of labeled data that actually teaches models useful stuff - like how customers move through stores or what a patient is doing during rehab. They stick to whatever tools the client already uses, so nothing gets lost switching platforms, and keep running checks so the labels stay tight even when datasets blow up huge.

Clients who need Colombia in the mix get teams that already know the local pace and can jump on feedback the same day instead of waiting for tomorrow. It's pretty handy for companies that want the work done close enough to feel like an extension of their own crew but without the overhead of building everything in-house.

Key Highlights:

  • Annotators trained specifically for retail and healthcare motion
  • Real-time dashboards for project tracking
  • Full compliance with data security rules across borders
  • Weekly sync-ups built into every job

Services:

  • Frame-by-frame movement analysis for retail flow
  • Posture and activity tagging in medical clips
  • PPE compliance checks on factory floor video
  • Customer dwell-time marking in store aisles
  • Behavioral cue labeling for security systems
  • Tool-agnostic workflow that fits CVAT, Labelbox, or custom setups

Contact and Social Media Information:

  • Website: www.fusioncx.com
  • E-mail: contact@fusioncx.com
  • Facebook: www.facebook.com/FusionCX
  • Twitter: x.com/fusion_cx
  • LinkedIn: www.linkedin.com/company/fusioncx-official
  • Instagram: www.instagram.com/fusioncxofficial
  • Address: Edificio Camacol, Cl. 49B #21, Laureles – Estadio, Medellin, Antioquia, Colombia
  • Phone: +919073900798

7. TaskUs

TaskUs pulls in video annotation as part of their wider AI data work, especially for things like autonomous vehicle feeds where spotting road elements frame after frame keeps the training data sharp. Crews handle the labeling for motion cues or safety flags in clips, making sure the outputs feed right into models without gaps. Companies running these ops through Colombia link up with TaskUs teams that sync on the ground rules early, avoiding the usual back-and-forth snags.

Beyond basic tagging, they layer in checks for compliance and accuracy, which matters when the footage involves sensitive real-world scenarios like traffic flows or community monitoring. For North American outfits eyeing Colombia as a hub, TaskUs slots in the annotation pieces to fit existing pipelines, almost like extending the in-house crew but with less overhead. You get the sense it's built for scaling without the chaos.

Key Highlights:

  • Focus on autonomous vehicle and safety-related video
  • Multi-language support in annotation tasks
  • Certifications for security and compliance
  • Global sites including Colombia for coordination

Services:

  • Video labeling for road and vehicle detection
  • Behavioral analysis in surveillance footage
  • Object identification across dynamic scenes
  • Data prep for trust and safety models
  • Integration with customer experience tools
  • Quality reviews for AI training datasets

Contact and Social Media Information:

  • Website: www.taskus.com
  • Facebook: www.facebook.com/TaskUs
  • Twitter: x.com/taskus
  • LinkedIn: www.linkedin.com/company/taskus
  • Instagram: www.instagram.com/taskusph
  • Phone: 888-400-8275

8. LatHire

LatHire connects companies to talent pools in LATAM for roles that include video annotation, like hiring folks to label frames for tech projects or track actions in creative clips. They vet candidates who can handle the detail work of outlining objects or noting behaviors, pulling from a mix of generalists and specialists. Clients building out annotation teams in Colombia use LatHire to match with local hires quickly, skipping the long recruitment drag.

The platform covers everything from initial assessments to ongoing HR bits, so once the team's in place, the video work - like tagging customer interactions or editing sequences - hums along without extra admin headaches. It's geared toward US groups wanting that time-zone ease, and for Colombia-specific setups, it opens doors to pros who get the regional flow right off the bat. Feels like a shortcut when you're ramping up fast.

Key Highlights:

  • AI-assisted vetting for skill matches
  • Handles payroll and compliance for hires
  • Pool includes tech and creative roles
  • Quick turnaround on candidate shortlists

Services:

  • Video frame labeling for object spotting
  • Action tagging in e-commerce footage
  • Editing support for annotated clips
  • Behavioral marking for marketing videos
  • Team building for annotation workflows
  • HR management for remote LATAM staff

Contact and Social Media Information:

  • Website: lathire.com
  • Facebook: www.facebook.com/latamhire
  • Twitter: x.com/LatamHire
  • LinkedIn: www.linkedin.com/company/latamhire

9. CloudFactory

CloudFactory manages data pipelines where teams label video content to support AI model development, pulling out elements like object positions or event sequences from raw footage. The workflow starts with gathering and curating clips, moves into detailed tagging using tools for accuracy, and includes validation steps to align outputs with project needs. For videos, this covers tasks such as frame annotations or motion tracking, often integrated with other data types to build comprehensive training sets.

Inference phases add another layer, where labeled videos feed into evaluations for error spotting and system tweaks, ensuring the results hold up in practical setups. Organizations incorporating Colombia into their data operations find CloudFactory's global setup channels local contributions seamlessly, allowing for consistent handling of video tasks without major disruptions in the chain.

Key Highlights:

  • Data engine for collection and labeling pipelines
  • Training engine with fine-tuning and evaluation
  • Inference tools for validation and error management
  • AI engine for deployment and operations

Services:

  • Video frame labeling for object detection
  • Motion and activity tracking in sequences
  • Semantic segmentation across clips
  • Integration with audio or text data overlays
  • Quality validation for model inputs
  • Scalable curation for large video datasets

Contact and Social Media Information:

  • Website: www.cloudfactory.com
  • Email: contact@cloudfactory.com
  • Facebook: www.facebook.com/CloudFactoryHQ
  • Twitter: x.com/theCloudFactory
  • LinkedIn: www.linkedin.com/company/cloudfactory-com
  • Phone: +18888090229

10. Outsourced

Outsourced assembles remote teams in Colombia that take on video annotation duties, selecting candidates to handle tasks like outlining moving parts in clips or noting behaviors over time. The recruitment pulls from multilingual pools, with hires integrating as daily extensions of client groups, working set hours to keep the labeling steady. Processes emphasize quick scaling, where teams ramp up on guidelines and tools to process footage without extended onboarding.

Once in place, these squads focus on consistent tagging for AI prep, from basic frame marks to more involved sequence breakdowns, feeding directly into model workflows. Companies layering in Colombia for their annotation needs see Outsourced's approach fill roles smoothly, blending local talent with remote management to maintain flow across time zones.

Key Highlights:

  • AI-enhanced recruitment for role matches
  • Dedicated support for team integration
  • Multilingual workforce for diverse tasks
  • Flexible scaling for project volumes

Services:

  • Object labeling in video frames
  • Behavioral tagging across sequences
  • Team building for annotation workflows
  • Daily reporting and hour alignment
  • Extension staffing for IT and data roles
  • Candidate selection for specific skills

Contact and Social Media Information:

  • Website: outsourced.co
  • E-mail: contact@outsourced.co
  • Facebook: www.facebook.com/outsourcedcareers
  • LinkedIn: www.linkedin.com/company/outsourcedglobal
  • Address: Calle 7D #43A-40. Medellín, Antioquia 050022
  • Phone: +61281033124

Wrapping this up

Look, at some point every AI team hits the same wall: the model’s hungry for perfectly labeled video but nobody on payroll wants to spend their life clicking bounding boxes. That’s when Colombia stops being “somewhere on the map” and starts looking like the cheat code you wish you’d found six months ago. You get annotators who’ll stay up debating whether that blurry blob is a motorcycle or just a really fast dog, then hand you a spotless dataset before your second coffee. Same time zone, solid English, turnover so low it’s basically a running joke, and rates that don’t make the CFO cry into their spreadsheet. So yeah, if your training runs keep choking on garbage data and you’re tired of doing it all in-house, just outsource the damn video work to Colombia already. Your model will thank you, your wallet will thank you, and you might even get a weekend back.

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Top Video Annotation Outsourcing Companies in Colombia

Nov 12, 2025
Ann

In the bustling world of AI development, getting video data properly labeled isn't just a checkbox, it's what makes models see the world right. Colombia's scene for outsourcing this work has grown quietly but steadily, drawing on local talent pools and global know-how to handle everything from object tracking to action spotting in footage.

In this article, we spotlight standout top companies with strong operations in Colombia, each bringing their own spin to turning messy clips into sharp, trainable datasets. These players lean on nearshore advantages like easy time zone syncs and cultural shorthand, making the whole process feel more like an extension of your team than a vendor headache. We've zeroed in on those consistently showing up in industry chatter for reliable video work, from frame chases in traffic feeds to behavioral tags in store cams. No fluff - just solid options if you're ready to offload the labeling grind.

1. NeoWork

We at NeoWork are the ones who quietly build the video annotation teams that keep your AI from guessing. Our crew in Colombia sit down, open your footage, and start drawing boxes around moving forklifts, tagging when a shopper lingers too long by the snacks, or marking exactly when a nurse adjusts a patient’s arm. We also run the RLHF loops where humans tell your model “no, that answer was rude” or “yes, that summary nailed it,” so the next version actually gets better instead of just sounding confident.

What makes our clients breathe easier is that we don’t lose people every month. We keep most of our teammates year after year, and we only say yes to a tiny slice of the folks who apply. That means the person who learned your weird edge cases last week is still the same person fixing them this week. When companies decide to run their annotation work through Colombia, we just plug the same picky hiring and sticky retention into the local mix and the project keeps rolling like nothing changed.

Key Highlights:

  • 91% annualized teammate retention (way above industry average)
  • 3.2% candidate acceptance rate - we’re ridiculously picky
  • We can send you one annotator or an entire managed floor
  • Same QA, reporting, and Slack channel whether the team is five people or hundreds

Services:

  • Frame-by-frame bounding boxes, polygons, and keypoints on video
  • Activity recognition for retail heatmaps and warehouse safety
  • Full RLHF pipeline - red-teaming, reward modeling, feedback collection
  • Dataset curation and cleaning before you ever see the files
  • Managed ops package: we handle scheduling, payroll, and the 3 am fire drills

Contact and Social Media Information:

2. Conectys

Conectys handles data annotation through a network of freelance workers spread across various spots, tackling tasks like labeling visuals for machine learning setups. Their approach starts with mapping out what a project needs, then moves into hands-on processing where teams sort and tag content, followed by checks to keep things consistent before wrapping up with a smooth handover. When it comes to video work, they cover basics like spotting objects frame by frame or classifying whole clips, all while weaving in audio tags or text pulls where it fits.

This setup lets them adapt to different file types, from quick clips to longer streams, using tools like bounding boxes or polygons to outline shapes precisely. They also dip into more detailed stuff, such as tracing movements over time or breaking down scenes into pixel-level categories. For teams looking to build reliable AI without building their own labeling crews, Conectys rolls out these options in places like Colombia, where local operations help bridge time zones and cultural nuances for smoother collaborations.

Key Highlights:

  • Support for a wide array of languages in labeling tasks
  • Certifications covering quality management, information security, and data protection standards
  • Flexible pricing options tailored to project volume or outcomes
  • Recognition in customer service and outsourcing awards over the years

Services:

  • Image and video labeling for object recognition
  • Audio tagging, transcription, and classification
  • Bounding box and polygon annotations
  • Text extraction and document digitization
  • Object tracking and action recognition in videos
  • Semantic and instance segmentation
  • Keypoint and polyline annotations for poses and structures

Contact and Social Media Information:

  • Website: www.conectys.com
  • E-mail: info@conectys.com
  • Twitter: x.com/Conectys
  • LinkedIn: www.linkedin.com/company/conectys
  • Address: 44 Sergent Nutu Ion, One Cotroceni Park Offices, Building A, 2nd floor, District 5, 050762 Bucharest, Romania

3. Annotera

Annotera focuses on turning raw video feeds into structured datasets, using a mix of human reviewers and steady processes to flag elements like movements or key events across frames. Their workflow kicks off with nailing down guidelines based on what the end goal is, then layers in reviews to catch slip-ups, and scales up as datasets grow. Video annotation here often involves marking paths for objects or categorizing activities, which feeds directly into training for things like surveillance cams or self-driving tech.

Beyond just videos, they extend to related areas like image outlines or audio breakdowns, ensuring everything ties back to clearer AI performance. What stands out is how they keep things compliant and secure, with annotators looping in at critical steps to refine outputs. Companies tapping into this find it handy for Colombia-based projects too, where Annotera channels resources to support regional AI efforts without the usual setup hassles.

Key Highlights:

  • Over two decades of experience in outsourcing and data handling
  • Team of professional annotators following structured review cycles
  • Coverage across text, image, audio, and video modalities
  • Tailored workflows for industries like security, retail, and robotics

Services:

  • Frame-by-frame video labeling for tracking and recognition
  • Bounding boxes, polygons, and segmentation for objects
  • Activity and intent classification in footage
  • Multilingual audio transcription and tagging
  • Image categorization and entity labeling
  • Dataset preparation for computer vision models

Contact and Social Media Information:

  • Website: www.annotera.ai
  • E-mail: info@annotera.com
  • LinkedIn: www.linkedin.com/company/annotera

4. Superstaff

Superstaff puts together teams in Colombia that handle the nitty-gritty of getting video ready for AI training, basically drawing boxes around moving cars or marking when someone picks something up off a shelf. They deal with all the usual stuff like turning messy footage into clean labels that computers can actually learn from, whether it's spotting objects frame by frame or figuring out what action is happening over a few seconds. Clients end up with datasets they can plug straight into their models without wasting time fixing sloppy work.

A lot of their effort goes into keeping the labels consistent across huge batches of video, which matters when companies need to train systems that have to work in real stores or on actual roads. For outfits running projects that touch Colombia, Superstaff offers a straightforward way to get this done locally, letting internal teams stay focused on building the actual AI instead of babysitting annotation all day.

Key Highlights:

  • Teams trained on Python development alongside annotation work
  • Support for computer vision engineers who understand video flows
  • Nearshore setup that keeps hours aligned with North American teams
  • Mix of data scientists and ML engineers handling quality checks

Services:

  • Video frame labeling for object detection
  • Action recognition across longer clips
  • Bounding box and polygon work on moving objects
  • Data cleanup for retail and automotive footage
  • Prompt engineering tied to video context
  • Behavioral tagging for security or healthcare clips

Contact and Social Media Information:

  • Website: www.superstaff.com
  • Email: info@superstaff.com
  • Facebook: www.facebook.com/SuperStaffOutsourcing
  • Twitter: x.com/SuperStaffBPO
  • LinkedIn: www.linkedin.com/company/superstaffoutsourcing
  • Address: Street 7D #43A-40. Offices: 7-11, Medellin
  • Phone: 415-651-7494

5. Cynergy BPO

Cynergy BPO connects companies to annotation crews in Colombia that tag everything from surveillance clips to driving footage, making sure each frame carries the right info for the model. They handle the usual range - drawing lines around people walking, tracking cars through intersections, or pulling out specific behaviors security teams need to flag. The work flows through layers of checks so the final dataset doesn't have random mistakes that throw off training.

For North American teams especially, having annotators just a couple time zones away means quicker back-and-forth when something needs tweaking mid-project. Companies leaning on Colombia for this kind of work find Cynergy's setup lets them ramp up fast without dealing with overnight delays or language mix-ups that pop up farther offshore.

Key Highlights:

  • Nearshore crews working same-day hours as US teams
  • Multi-layer quality reviews built into every project
  • Direct integration with common annotation platforms
  • Domain focus on autonomous driving and security feeds

Services:

  • Object tracking across video sequences
  • LiDAR fusion with regular camera footage
  • Behavioral anomaly labeling for surveillance
  • 3D bounding boxes on moving objects
  • Semantic segmentation on street scenes
  • Video classification for threat detection

Contact and Social Media Information:

  • Website: www.cynergybpo.com
  • E-mail: john@cynergybpo.com
  • Phone: 866-201-3370  

6. Fusion CX

Fusion CX runs video annotation out of Colombia alongside their other locations, focusing on turning raw footage into the kind of labeled data that actually teaches models useful stuff - like how customers move through stores or what a patient is doing during rehab. They stick to whatever tools the client already uses, so nothing gets lost switching platforms, and keep running checks so the labels stay tight even when datasets blow up huge.

Clients who need Colombia in the mix get teams that already know the local pace and can jump on feedback the same day instead of waiting for tomorrow. It's pretty handy for companies that want the work done close enough to feel like an extension of their own crew but without the overhead of building everything in-house.

Key Highlights:

  • Annotators trained specifically for retail and healthcare motion
  • Real-time dashboards for project tracking
  • Full compliance with data security rules across borders
  • Weekly sync-ups built into every job

Services:

  • Frame-by-frame movement analysis for retail flow
  • Posture and activity tagging in medical clips
  • PPE compliance checks on factory floor video
  • Customer dwell-time marking in store aisles
  • Behavioral cue labeling for security systems
  • Tool-agnostic workflow that fits CVAT, Labelbox, or custom setups

Contact and Social Media Information:

  • Website: www.fusioncx.com
  • E-mail: contact@fusioncx.com
  • Facebook: www.facebook.com/FusionCX
  • Twitter: x.com/fusion_cx
  • LinkedIn: www.linkedin.com/company/fusioncx-official
  • Instagram: www.instagram.com/fusioncxofficial
  • Address: Edificio Camacol, Cl. 49B #21, Laureles – Estadio, Medellin, Antioquia, Colombia
  • Phone: +919073900798

7. TaskUs

TaskUs pulls in video annotation as part of their wider AI data work, especially for things like autonomous vehicle feeds where spotting road elements frame after frame keeps the training data sharp. Crews handle the labeling for motion cues or safety flags in clips, making sure the outputs feed right into models without gaps. Companies running these ops through Colombia link up with TaskUs teams that sync on the ground rules early, avoiding the usual back-and-forth snags.

Beyond basic tagging, they layer in checks for compliance and accuracy, which matters when the footage involves sensitive real-world scenarios like traffic flows or community monitoring. For North American outfits eyeing Colombia as a hub, TaskUs slots in the annotation pieces to fit existing pipelines, almost like extending the in-house crew but with less overhead. You get the sense it's built for scaling without the chaos.

Key Highlights:

  • Focus on autonomous vehicle and safety-related video
  • Multi-language support in annotation tasks
  • Certifications for security and compliance
  • Global sites including Colombia for coordination

Services:

  • Video labeling for road and vehicle detection
  • Behavioral analysis in surveillance footage
  • Object identification across dynamic scenes
  • Data prep for trust and safety models
  • Integration with customer experience tools
  • Quality reviews for AI training datasets

Contact and Social Media Information:

  • Website: www.taskus.com
  • Facebook: www.facebook.com/TaskUs
  • Twitter: x.com/taskus
  • LinkedIn: www.linkedin.com/company/taskus
  • Instagram: www.instagram.com/taskusph
  • Phone: 888-400-8275

8. LatHire

LatHire connects companies to talent pools in LATAM for roles that include video annotation, like hiring folks to label frames for tech projects or track actions in creative clips. They vet candidates who can handle the detail work of outlining objects or noting behaviors, pulling from a mix of generalists and specialists. Clients building out annotation teams in Colombia use LatHire to match with local hires quickly, skipping the long recruitment drag.

The platform covers everything from initial assessments to ongoing HR bits, so once the team's in place, the video work - like tagging customer interactions or editing sequences - hums along without extra admin headaches. It's geared toward US groups wanting that time-zone ease, and for Colombia-specific setups, it opens doors to pros who get the regional flow right off the bat. Feels like a shortcut when you're ramping up fast.

Key Highlights:

  • AI-assisted vetting for skill matches
  • Handles payroll and compliance for hires
  • Pool includes tech and creative roles
  • Quick turnaround on candidate shortlists

Services:

  • Video frame labeling for object spotting
  • Action tagging in e-commerce footage
  • Editing support for annotated clips
  • Behavioral marking for marketing videos
  • Team building for annotation workflows
  • HR management for remote LATAM staff

Contact and Social Media Information:

  • Website: lathire.com
  • Facebook: www.facebook.com/latamhire
  • Twitter: x.com/LatamHire
  • LinkedIn: www.linkedin.com/company/latamhire

9. CloudFactory

CloudFactory manages data pipelines where teams label video content to support AI model development, pulling out elements like object positions or event sequences from raw footage. The workflow starts with gathering and curating clips, moves into detailed tagging using tools for accuracy, and includes validation steps to align outputs with project needs. For videos, this covers tasks such as frame annotations or motion tracking, often integrated with other data types to build comprehensive training sets.

Inference phases add another layer, where labeled videos feed into evaluations for error spotting and system tweaks, ensuring the results hold up in practical setups. Organizations incorporating Colombia into their data operations find CloudFactory's global setup channels local contributions seamlessly, allowing for consistent handling of video tasks without major disruptions in the chain.

Key Highlights:

  • Data engine for collection and labeling pipelines
  • Training engine with fine-tuning and evaluation
  • Inference tools for validation and error management
  • AI engine for deployment and operations

Services:

  • Video frame labeling for object detection
  • Motion and activity tracking in sequences
  • Semantic segmentation across clips
  • Integration with audio or text data overlays
  • Quality validation for model inputs
  • Scalable curation for large video datasets

Contact and Social Media Information:

  • Website: www.cloudfactory.com
  • Email: contact@cloudfactory.com
  • Facebook: www.facebook.com/CloudFactoryHQ
  • Twitter: x.com/theCloudFactory
  • LinkedIn: www.linkedin.com/company/cloudfactory-com
  • Phone: +18888090229

10. Outsourced

Outsourced assembles remote teams in Colombia that take on video annotation duties, selecting candidates to handle tasks like outlining moving parts in clips or noting behaviors over time. The recruitment pulls from multilingual pools, with hires integrating as daily extensions of client groups, working set hours to keep the labeling steady. Processes emphasize quick scaling, where teams ramp up on guidelines and tools to process footage without extended onboarding.

Once in place, these squads focus on consistent tagging for AI prep, from basic frame marks to more involved sequence breakdowns, feeding directly into model workflows. Companies layering in Colombia for their annotation needs see Outsourced's approach fill roles smoothly, blending local talent with remote management to maintain flow across time zones.

Key Highlights:

  • AI-enhanced recruitment for role matches
  • Dedicated support for team integration
  • Multilingual workforce for diverse tasks
  • Flexible scaling for project volumes

Services:

  • Object labeling in video frames
  • Behavioral tagging across sequences
  • Team building for annotation workflows
  • Daily reporting and hour alignment
  • Extension staffing for IT and data roles
  • Candidate selection for specific skills

Contact and Social Media Information:

  • Website: outsourced.co
  • E-mail: contact@outsourced.co
  • Facebook: www.facebook.com/outsourcedcareers
  • LinkedIn: www.linkedin.com/company/outsourcedglobal
  • Address: Calle 7D #43A-40. Medellín, Antioquia 050022
  • Phone: +61281033124

Wrapping this up

Look, at some point every AI team hits the same wall: the model’s hungry for perfectly labeled video but nobody on payroll wants to spend their life clicking bounding boxes. That’s when Colombia stops being “somewhere on the map” and starts looking like the cheat code you wish you’d found six months ago. You get annotators who’ll stay up debating whether that blurry blob is a motorcycle or just a really fast dog, then hand you a spotless dataset before your second coffee. Same time zone, solid English, turnover so low it’s basically a running joke, and rates that don’t make the CFO cry into their spreadsheet. So yeah, if your training runs keep choking on garbage data and you’re tired of doing it all in-house, just outsource the damn video work to Colombia already. Your model will thank you, your wallet will thank you, and you might even get a weekend back.

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