The Role
Annotate and review multimedia data (video, images, metadata) using strict labeling rules, perform self-QA and second-pass reviews, flag ambiguous cases, participate in calibration, track recurring issues, and coordinate with stakeholders to meet quality and throughput targets. Work is remote and requires Bodo language proficiency.
Summary Generated by Built In
OVERVIEW
We are looking for Generative AI Analysts to support labeling and quality review across multimedia data (e.g., video, images, and related metadata). This role is best suited for candidates with several years of annotation and QA experience, strong attention to detail, and comfort working with structured guidelines at high volume.
MAIN DUTIES
- Annotate and review multimedia data accurately using defined labeling rules (e.g., event tagging, temporal boundaries, object/entity attributes, consistency checks).
- Follow detailed guidelines consistently; flag ambiguous cases and edge scenarios with clear examples for resolution.
- Perform self-QA on completed work and correct errors before submission.
- Participate in calibration sessions to align interpretation of guidelines and reduce reviewer-to-reviewer variance.
- Track recurring issues and contribute to guideline improvements by documenting examples, failure modes, and recommended clarifications.
- Support quality workflows (sampling, second-pass review, audits) and incorporate feedback into subsequent work.
- Coordinate with internal stakeholders and external partners as needed to meet throughput and quality targets.
Project Details
Duration: Ongoing
Employment Type: Full time employee
Location: Remote
Language: Bodo
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Qualifications
- 3+ years of experience in multimedia annotation, multimodal data labeling, computer vision labeling, content QA, or a closely related field.
- Demonstrated ability to maintain high accuracy and consistency across repetitive, detail-oriented work.
- Strong written and verbal communication in Bodo (to document issues clearly and ask precise questions).
- Comfortable working with multimedia content for extended periods while maintaining focus and accuracy.
- Experience working from structured guidelines and meeting productivity/quality expectations.
Skills Required
- 3+ years of experience in multimedia annotation, multimodal data labeling, computer vision labeling, or content QA
- Demonstrated ability to maintain high accuracy and consistency in repetitive, detail-oriented tasks
- Strong written and verbal communication in Bodo to document issues and ask precise questions
- Comfortable working with multimedia content (video, images, metadata) for extended periods while maintaining focus and accuracy
- Experience working from structured guidelines and meeting productivity and quality expectations
- Experience performing QA, calibration sessions, and contributing to guideline improvements
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The Company
