Colombia is quietly becoming a hotspot for AI teams needing reliable text annotation work done right. Think about it: you've got a pile of raw text data for chatbots or sentiment analysis, but labeling it in-house eats time and budget. Enter Colombia's outsourcing scene, where bilingual pros handle entity recognition, NER, or intent classification at a fraction of US rates, all while sharing your time zone. It's practical nearshoring that just works.

1. NeoWork

We at NeoWork pull in our Colombia teams to run data annotation, including text annotation outsourcing, tagging text for sentiment or entity work that feeds straight into AI models. Our folks mix it with other data types, like pairing labels across images and descriptions, and we keep quality tight by running checks that catch slips before they pile up. It works well for projects where you need that human read on tricky language, and the nearshore overlap means fixes happen without waiting a full day.

In our Colombia setup, we also handle text moderation, scanning posts or comments to spot problems, which doubles as training data for safer systems. What keeps things steady is our focus on holding onto staff - our industry-leading 91% annualized teammate retention rate and our 3.2% candidate selectivity rate mean the same skilled people stick around, handling bilingual jobs that tie into e-commerce or tech apps without constant retraining.

Key Highlights

• Operations in Colombia and the Philippines for nearshore and offshore needs
• Dedicated teams for text and multimodal data labeling
• Quality assurance with systematic checks and consistency validation
• Support for NLP tasks like classification and recognition
• Integration with content moderation workflows

Services

• Text annotation for sentiment and entity tasks
• Data labeling for AI training datasets
• Supervised fine-tuning and human feedback loops
• Content moderation for text and mixed media
• Evaluation sets for model refinement

Contacts

• Website: www.neowork.com
• LinkedIn: www.linkedin.com/company/neoworkteam 
• Facebook: www.facebook.com/neoworkteam 
• Instagram: www.instagram.com/neoworkteam 

2. Conectys

Teams at Conectys handle a range of data annotation tasks, drawing on setups that mix human input with automated tools to manage everything from text to more complex formats like video and LiDAR. Operating across multiple continents, they focus on workflows that keep things secure and efficient, especially for projects involving AI model training. It's the kind of operation that feels built for handling the messy realities of real-world data, where cultural details and quick adjustments matter just as much as the tech.

Their approach leans into hybrid models, combining on-site teams with remote gig workers to scale up without losing track of quality checks or compliance standards. Certifications like ISO 27001 and SOC 2 show up in how they structure access and monitoring, making sure sensitive info stays locked down. From what stands out, it's less about flashy promises and more about steady execution in spots like retail or healthcare, where datasets need to reflect actual user behaviors without too much noise.

Key Highlights

• Working in AI data services
• Support for multimedia including text, images, video, audio, and LiDAR
• Multilingual coverage 
• Hybrid workforce with global gig platform and dedicated hubs
• Emphasis on human-in-the-loop processes for feedback and refinement

Services

• End-to-end AI data management and curation
• Multi-format annotation for various data types
• LiDAR optimization and 3D modeling
• Generative AI workflows including RLHF and prompt engineering
• Human-in-the-loop integration with quality assurance pipelines

Contacts

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

3. Gini Talent

Gini Talent's groups put together labeled datasets for AI training, pulling from multilingual teams that cover needs in areas like finance or autonomous tech. They keep workflows clear, with steps for checking quality and securing data, which helps when projects scale up for startups or bigger outfits. There's a grounded feel to it, like they're tuning into the specific quirks of LATAM talent to match global demands without forcing square pegs.

What sets their rhythm apart is blending human checks with tech for precision, especially in handling diverse languages that pop up in real applications. Sectors get tailored touches, but it's all about steady output that feeds into machine learning without extra fluff. From the setup, you can tell it's designed for folks who need reliable data flows, not just one-off fixes.

Key Highlights

• Specialized annotation for machine learning datasets
• Multilingual teams supporting multiple languages
• Quality control and data security in workflows
• Coverage across healthcare, finance, retail, and vehicles
• Human-tech mix for efficient labeling

Services

• Data labeling and annotation for AI projects
• Dataset preparation for model training
• Multilingual text and content handling
• Quality assurance and validation processes
• Scalable support for enterprise and startup needs

Contacts

• Website: ginitalent.com
• Address: 12 Daniel Rd 318 a3, Fairfield, NJ 07004, USA
• E-mail: usa@ginitalent.com
• LinkedIn: www.linkedin.com/company/ginitalent-recruitment-staffing
• Twitter: x.com/GiniTalent
• Facebook: www.facebook.com/ginitalent
• Instagram: www.instagram.com/ginitalentglobal

4. Annotera

Annotera runs delivery centers in spots like Colombia, where teams handle data annotation tasks as part of a bigger network stretching from the Americas to Asia-Pacific. They mix onshore, nearshore, and offshore setups to cover things like text labeling for AI projects, pulling in bilingual workers who keep up with time zones and local flavors. It's one of those operations that spreads out to match what clients need, whether that's quick turnarounds or handling multilingual datasets without much hassle.

The Colombia center fits into this by offering scalability for annotation work, especially where cultural ties make collaboration smoother for North American outfits. They layer in support for various formats, from text to video, while keeping an eye on security through global standards. Overall, it comes across as a practical way to tap into regional talent for steady data prep, without overpromising on the flashy side.

Key Highlights

• Delivery centers in multiple regions including Latin America
• Multilingual support across English, Spanish, and other languages
• Focus on scalable annotation for AI and BPO needs
• 24/7 availability through distributed teams
• Options for onshore, nearshore, and offshore models

Services

• Text annotation for NLP tasks
• Image annotation for computer vision
• Audio annotation for voice models
• Video annotation for motion-based projects
• Content moderation and customer support labeling

Contacts

• Website: www.annotera.ai
• Linkedin: www.linkedin.com/company/annotera

5. Fusion CX

Fusion CX sets up data annotation through teams that cover text tagging, sentiment spotting, and entity pulls, often tying it into broader customer experience tools. In Colombia, their location slots into a network across North America, Latin America, and beyond, where annotators work on datasets for tech or retail setups. They blend manual reviews with tech to handle diverse data types, making sure things like audio clips or video frames get labeled consistently.

What you notice is how they fold annotation into contact center improvements, like transcribing calls or analyzing tones, which helps in sectors where real-time insights matter. Security gets a nod with encryption and compliance, and the whole thing feels geared toward keeping data flows reliable without extra steps. It's straightforward handling for businesses dealing with unstructured info that needs to feed into AI without glitches.

Key Highlights

• Presence in different countries with multilingual teams
• Coverage of text, audio, image, and video formats
• Tailored approaches for industries like retail and tech
• Emphasis on accuracy through multi-stage audits
• Integration with customer engagement workflows

Services

• Text annotation for sentiment and entity recognition
• Audio annotation for transcription and classification
• Image annotation for object tagging
• Video annotation for computer vision training
• Contact center data labeling for quality assurance

Contacts

• Website: www.fusioncx.com
• Address: Edificio Camacol, Cl. 49B #21, Laureles – Estadio, Medellin, Antioquia, Colombia
• Email: contact@fusioncx.com
• Phone: +919073900647
• Facebook: www.facebook.com/FusionCX
• Twitter: x.com/fusion_cx
• Linkedin: www.linkedin.com/company/fusioncx-official
• Instagram: www.instagram.com/fusioncxofficial

6. TaskUs

TaskUs teams manage AI data operations by focusing on safety checks and feedback loops that refine models through human input on text and other formats. In setups that span global ops, including Latin American spots like Colombia, they handle red-teaming for risks and policy-based labeling to keep things aligned with real-world use. It's the sort of behind-the-scenes work that catches glitches early, especially when dealing with sensitive content where trust matters more than speed.

Their workflows cover evaluation pipelines that adapt foundation models for specific tasks, blending global teams for continuous tweaks. You see this in how they tie data ops to broader CX goals, making sure annotations feed into reliable outputs without overcomplicating the handoff. Overall, it feels like a steady hand for enterprises navigating the messy parts of AI deployment, where human oversight keeps the tech grounded.

Key Highlights

• Operations across multiple regions including Latin America
• Focus on AI safety, alignment, and human-in-the-loop processes
• Support for data feedback and model evaluation
• Integration with trust and safety standards
• Scalable pipelines for enterprise AI needs

Services

• AI safety and alignment through red-team design
• Data feedback and evaluation with RLHF
• Model testing and quality assurance
• Deployment support and AI operations
• Agentic AI implementation for automation

Contacts

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

7. ROI CX Solutions

ROI CX Solutions groups tackle data annotation by labeling text for NLP tasks, like spotting sentiments or entities, as part of wider AI training efforts. With a presence in Colombia among other nearshore locations, they pull in teams that handle everything from chat responses to text analysis, ensuring tags match the intended outcomes. It's practical for outfits dealing with unstructured info that needs structure before models can learn from it, avoiding the pitfalls of unchecked errors.

Security weaves through their processes, meeting regs like GDPR and HIPAA, which lets them manage sensitive datasets without extra worries. The approach extends to quality checks that flag inconsistencies, tying into industries where accurate labeling directly impacts decisions. You get a vibe of no-nonsense efficiency here, geared toward businesses that want scalable help without the fluff.

Key Highlights

• Nearshore locations including Colombia
• Coverage of text, image, video, and audio formats
• Emphasis on compliance with GDPR, HIPAA, and SOC 2
• Scalable workforce for various project sizes
• Quality assurance integrated into workflows

Services

• Text annotation for NLP and sentiment analysis
• Image annotation with bounding boxes
• Video annotation frame-by-frame
• Audio annotation for transcription
• Data quality and secure handling

Contacts

• Website: roicallcentersolutions.com
• Phone: (877) 768-9598
• Email: sales@365roi.com
• Address: 792 East 280 South, American Fork, UT 84003
• Twitter: x.com/365ROI
• Facebook: www.facebook.com/ROICallCenterSolutions
• Linkedin: www.linkedin.com/company/roi-call-center-solutions

8. Outsourced

Outsourced builds teams for AI data prep, including annotation specialists who tag text and other data to enrich datasets for training. Their Colombia option fits into a lineup of offshore spots, where roles like labeling associates handle the labor side of making raw info usable for models. It's about slotting in folks who get the repetitive grind of adding metadata without losing the thread on quality.

The setup covers the full prep chain, from collecting scraps to validating splits, with supervisors keeping an eye on biases or gaps. For companies eyeing cost-smart growth, this means tapping local talent pools that scale with project demands, all while keeping things compliant. Feels like a smart workaround for the heavy lifting in AI builds, where the real win is in consistent, low-drama execution.

Key Highlights

• Offshore teams in locations like Colombia
• Roles for data annotation and labeling specialists
• Coverage of data collection to validation steps
• Focus on scalable, cost-effective AI prep
• Support for diverse data types in ML workflows

Services

• Data annotation and labeling for text and unstructured info
• Data cleaning and integration
• Augmentation and splitting for training sets
• Validation and quality checks
• Pipeline automation for ongoing processing

Contacts

• Website: outsourced.co
• E-mail: contact@outsourced.co
• Facebook: www.facebook.com/outsourcedcareers
• LinkedIn: www.linkedin.com/company/outsourced-quality-assured-services
• Address: Calle 7D #43A-40. Medellín, Antioquia 050022, Colombia
• Phone: +61 2 8103 3124

9. The Nest by Concentrix

The Nest by Concentrix operates trust and safety services that include data annotation as part of content management workflows, where teams label text and other digital elements to support AI training in online platforms. With a global setup that touches on multilingual operations, they integrate annotation into broader moderation tasks, handling everything from user-generated content to structured datasets. It's the kind of layered approach that fits when companies need to balance quick labeling with checks for cultural nuances, especially in regions like Latin America where language diversity plays a role.

Annotation here ties closely to digital activation, where tagged data helps optimize engagement without pulling focus from core content checks. Teams draw on proprietary tools to process text for sentiment or entity spotting, keeping things compliant across borders. You can sense it's designed for steady, round-the-clock handling in spots like Colombia, where local teams contribute to the global mix without much fanfare.

Key Highlights

• Global operations with multilingual support
• Integration of annotation in content moderation
• Focus on trust and safety for digital assets
• 24/7 service availability
• Proprietary technologies for workflow efficiency

Services

• Data annotation for text and content labeling
• Content moderation and management
• Digital activation support
• Trust and safety outsourcing
• Multilingual content optimization

Contacts

• Website: thenest.concentrix.com
• Phone: +1-800-747-0583
• Linkedin: www.linkedin.com/company/thenest-by-webhelp
• Twitter: x.com/concentrix
• Instagram: www.instagram.com/concentrix
• Facebook: www.facebook.com/Concentrix-153770504699665

10. TP

TP runs multichannel support roles in Colombia that involve data handling for tech products, including text-based interactions where accuracy in processing customer queries feeds into AI improvements. Their work from home setups allow teams to manage French-language support alongside English, focusing on hardware and software troubleshooting that often requires logging text data for later annotation. It's a practical blend, where frontline details get captured to refine models without separate silos.

The emphasis lands on building customer ties through empathetic responses, which extends to how data gets tagged for patterns in operating systems or apps. With a nod to diversity in their global network, they cover over 300 languages, making text annotation a quiet backbone for back-office processing. Feels like the sort of operation that keeps things inclusive, pulling in local talent for roles that support broader AI efforts in sectors like banking or retail.

Key Highlights

• Work from home opportunities in Colombia
• Multilingual support including French and English
• Focus on digital CX and AI services
• Presence in 100 countries
• Commitment to diversity and inclusion

Services

• Multichannel customer support
• Data handling for tech products
• Back-office processing
• Artificial intelligence integration
• Trust and safety measures

Contacts

• Website: www.tp.com
• Linkedin: www.linkedin.com/company/teleperformance
• Twitter: x.com/Teleperformance
• Facebook: www.facebook.com/teleperformancebrasil
• Instagram: www.instagram.com/teleperformance_group

Wrapping It Up

Colombia's text annotation scene keeps things grounded and effective, with teams across the board handling the nitty-gritty of labeling data for AI without much hype. From bigger networks like Conectys or TaskUs that blend global reach with local hubs, to focused outfits like Annotera or ROI CX that lean into nearshore perks, the common thread is bilingual talent turning raw text into usable datasets. You see it in how they tackle sentiment tags, entity pulls, or intent classification - practical work that feeds models for chatbots, analytics, or content moderation, all while keeping costs down and time zones aligned for US clients.

What stands out is the flexibility: whether it's gig platforms for quick scales, human-in-the-loop checks to catch biases, or secure pipelines compliant with global standards, these companies make outsourcing feel less like a leap and more like a smart shift. For anyone knee-deep in NLP projects, Colombia offers that sweet spot of skill and proximity, letting teams focus on building better AI instead of wrangling data alone. It's not perfect, but it gets the job done reliably, and that's what counts in the long run.