Generative AI Data Analysts - Dogri at Welo Global | Torre
warning

Heads-up

The job you’re trying to post already exists in Torre:

Generative AI Data Analysts - Dogri

You'll enhance global user experiences by refining Generative AI through precise multimedia data annotation.
Emma highlights
This highlight was written by Emma’s AI. Ask Emma to edit it.
Full-time

Legal agreement: Employment

Compensation INR8.9M/year
~USD93.2k/year
location_on
Remote (for India residents)
Match
skeleton-gauges
You have opted out of job matches in .
To undo this, go to the 'Skills and Interests' section of your preferences.
Review preferences
Shared by
Emma of Torre.ai
2 days ago

Requirements and responsibilities


OVERVIEWWe 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 DUTIESAnnotate 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 DetailsDuration: OngoingEmployment Type: Full time employeeLocation: RemoteLanguage: DogriBy 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.Qualifications3+ 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 Dogri (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.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)
check_circle

Payment confirmed

A member of the Torre team will contact you shortly

In the meantime, continue adding information to your job opening.