Generative AI Data Analysts - Sindhi

Remote; San Francisco (CA); Remote; USD 55,000 - 75,000; Full time

Job summary

Remote is seeking Generative AI Analysts to support labeling and quality review of multimedia data, including video, images, and related metadata. This role suits candidates with several years of annotation and QA experience, keen attention to detail, and comfort following structured guidelines at high volume.

You will annotate, review, and calibrate labeling tasks, perform self-QA, document issues in Sindhi, and help improve guidelines.

Qualifications

• 3+ years of experience in multimedia annotation, labeling, QA or related field.
• Ability to follow detailed guidelines and ensure high accuracy.
• Strong written and verbal communication in Sindhi to document issues.
• Comfortable reviewing multimedia content for extended periods.
• Experience working from structured guidelines and meeting productivity/quality targets.

Responsibilities

• Annotate and review multimedia data using labeling rules (events, boundaries, attributes).
• Follow guidelines; flag ambiguous cases with examples.
• Perform self-QA and correct errors before submission.
• Join calibration sessions to align guideline interpretation.
• Track issues and suggest guideline clarifications.
• Support quality workflows (sampling, second-pass reviews, audits).
• Coordinate with stakeholders to meet throughput and quality targets.

Skills

Multimedia annotation

QA and quality checks

Attention to detail

Sindhi documentation

Job description

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: Sindhi

By applying, you'll become part of our community, opening doors to a range of projects tailored to your skills and availability.

Joining us means contributing to our current project and becoming part of our dynamic network.

This is a unique chance to enhance global user experiences and apply your language skills in meaningful ways.

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 Sindhi (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.