About the Role
We are looking for annotators with computer vision or image labeling experience to perform 2D human pose (keypoint) annotation on thermal images within the client's Label Studio environment. You will identify people in each image and place a defined set of anatomical keypoints per person, including in cases of partial occlusion or ambiguous body positioning.
Key Responsibilities
Review each assigned thermal image and identify the number of people present.
Create a separate annotation for each individual identified in the image.
Position each keypoint as close as possible to the true center of the corresponding body part.
Infer and place the expected anatomical position for keypoints that are obstructed or occluded.
Indicate a confidence flag when keypoint placement is uncertain due to difficult body positioning or orientation.
Submit completed annotations directly within the client's Label Studio instance.
Participate in QA/rework cycles, revising annotations as needed based on reviewer feedback.
Requirements
Required:
Prior experience with computer vision annotation, image labeling, or similar data annotation work.
Solid understanding of human anatomy sufficient to accurately place and infer keypoints, even when partially visible.
Sharp attention to detail and spatial reasoning, able to distinguish subtle differences in body positioning and orientation.
Comfort working with thermal/infrared imagery (lower contrast, less visual clarity than standard RGB images).
Ability to follow detailed annotation guidelines precisely and apply them consistently across large volumes of images.
Good judgment for ambiguous cases (occlusion, unusual poses, overlapping people) and appropriate flagging of uncertainty rather than guessing silently.
Familiarity with Label Studio, or willingness to quickly learn the platform.
Reliable, self-directed work habits.
Nice to Have:
Experience with human pose estimation or keypoint annotation datasets (e.g., COCO keypoints format).
Experience working with thermal or infrared imagery.
Background in computer vision, robotics, or security/surveillance imaging.
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community. About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Welo Global, through its Welo Data brand, is a multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. The company delivers human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts at every stage from training through deployment. With a global network of 500,000+ vetted experts spanning 300+ languages and locales, Welo Data enables high-quality multilingual data creation and structured model evaluation across modern AI applications including large language models, voice and speech systems, agentic workflows, and robotics. The company addresses critical AI development challenges including safety, bias, inclusivity, and cross-lingual reliability through specialized program and quality expertise, supported by NIMO™, their proprietary identity and fraud-prevention framework.
