Project Rana - Human Pose Keypoint Annotation QC (Thermal Imagery)

Welo Global; United States; Remote; USD 8,000 - 11,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Job summary

Welo Data is seeking a detail-oriented QC Reviewer to ensure the accuracy of human pose keypoint annotations on thermal images within Label Studio. You will review submissions, verify per-person counts, and provide actionable feedback to drive rework.

This remote, project-based role emphasizes careful evaluation of inferred keypoints and confidence indicators, with calibration sessions and ongoing documentation of review outcomes.

Qualifications

• Prior experience in computer vision annotation QA or related QC role.
• Strong understanding of human anatomy and pose structure.
• Exceptional attention to detail to catch subtle errors.
• Comfort with thermal/infrared imagery and its limitations.
• Ability to apply detailed annotation/QC guidelines consistently.
• Strong written communication for feedback to annotators.
• Familiarity with Label Studio review/approval workflows.
• Reliable, self-directed work habits meeting turnaround expectations.

Responsibilities

• Review annotator submissions against source thermal images for accuracy.
• Verify per-person keypoints and counts.
• Assess placement accuracy near anatomical centers.
• Evaluate plausibility of inferred/ooccluded keypoints.
• Check confidence flags and flag misused indicators.
• Identify systematic annotation errors for calibration.
• Provide actionable feedback within Label Studio review workflow.
• Document review outcomes and performance trends.

Skills

QA experience

Anatomy knowledge

Label Studio

Attention to detail

Thermal imagery

Communication

Tools

Label Studio

Job description

About the Role

We are looking for a detail-oriented QC Reviewer to ensure the accuracy and consistency of human posekeypointannotations on thermal images. You will review annotator submissions within Label Studio, verify correctkeypointplacement (including inferred positions for occluded body parts), and provide clear feedback to drive rework where needed.

Key Responsibilities

• Review completedkeypointannotations against the sourcethermal images, verifying person count and per-person annotation completeness.
• Check that eachkeypointis placed as close as possible to the true anatomical center of the corresponding body part.
• Evaluate whether inferredkeypoints(for occluded/obstructed body parts) are anatomically plausible and consistent with visible body positioning.
• Verify that confidence flags were applied appropriately for uncertain or difficult cases, and flag missing or misused confidence indicators.
• Identifysystematic errors or patterns of confusion (e.g., consistent mislabeling in certain poses or occlusion types) and report them for annotator calibration.
• Provide specific, actionable feedback on rejected or revised annotations within Label Studio’s review workflow.
• Participate in periodic calibration sessions to align QC standards with the client’s evolving guidelines oredge-caseresolutions.
• Track and document review outcomes, common error types, and annotator performance trends asrequired.

Requirements

Required:

• Prior experience in computer vision annotation QA, review, or a related quality-control role.
• Strong understanding of human anatomy and pose structure to accurately assesskeypointplacement, including inferred/occluded cases.
• Exceptional attention to detail — able to catch subtle placement errors, incorrect inferences, or misapplied confidence flags.
• Comfort working with thermal/infrared imagery and its visual limitations.
• Ability to apply detailed annotation/QC guidelines consistently and exercise sound judgment on ambiguous or edge-case scenarios.
• Strong written communication skills for providing clear, constructive feedback to annotators.
• Familiarity with Label Studio, including review/approval workflows, or willingness to quicklylearnthe platform.
• Reliable, self-directed work habits with the abilityto meetreview turnaround expectations.

Nice to Have

• Direct experience with human pose estimation datasets (e.g., COCOkeypoints) orkeypointQA specifically.
• Experience with thermal/infrared imagery QA.
• Background in computer vision, robotics, or security/surveillance imaging.
• Experience managing structured QA/rework feedback loops for annotation teams.

$7 - $7 an hour

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.

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.