Apply expert judgment to identify AI blind spots, reasoning failures, factual inaccuracies, and quality gaps, helping build more reliable and trustworthy AI systems.
Good AI is built on good judgment.
TrustScale is seeking experienced Hindi-language professionals to evaluate AI-generated content and ensure the highest standards of quality, accuracy, and consistency. As an AI Quality Reviewer, you will identify quality gaps, assess annotation outputs, and help define the standards that AI systems learn from.
This is a remote freelance opportunity with flexible hours and payment in USD.
Remote | Freelance | Flexible Schedule | Paid in USD
We are seeking a small group of experienced reviewers to support upcoming AI quality initiatives. Applications are reviewed on a rolling basis.
Review and evaluate AI-generated responses in Hindi
Assess annotation outputs for accuracy, consistency, and guideline compliance
Identify AI blind spots, reasoning failures, factual inaccuracies, and quality gaps
Evaluate response quality, relevance, completeness, and user intent alignment
Provide clear quality feedback and rationale for review decisions
Participate in training, calibration, and quality alignment sessions conducted in English
Maintain quality and productivity expectations while meeting project requirements
Collaborate with project teams to continuously improve quality standards
Native or near-native fluency in Hindi
Strong English proficiency, including the ability to understand guidelines and participate in training sessions
Previous experience in Quality Assurance, Fact-Checking, Content Review, Search Evaluation, Annotation Review, Data Quality, Linguistic QA, or similar analytical roles
Excellent critical-thinking and analytical skills
Strong attention to detail and consistency
Ability to interpret complex queries and evaluate responses objectively
Comfortable working with structured data and AI-related projects
Ability to pass a qualification assessment in English
Experience reviewing annotation or AI training data projects
Experience with Response Evaluation, Search Quality Rating, RLHF, or LLM evaluation
Background in linguistics, journalism, translation, research, editorial review, education, or content quality assessment
Experience providing feedback or calibration support to reviewer or annotation teams
100% remote and flexible work environment
Paid in USD
Work on cutting-edge AI and language technologies
Collaborate with a global network of AI quality professionals
Long-term opportunities for high-performing contributors
Potential growth into advanced AI Quality and QC Specialist roles
Due to the specialized nature of AI quality work, selected candidates will complete a qualification process before onboarding.
This process may include guideline reviews, platform training, UI navigation exercises, knowledge assessments, and project simulation tasks designed to evaluate quality, accuracy, consistency, decision-making skills, and overall readiness for project work.
All qualification activities are unpaid and form part of the candidate evaluation process. Successful completion does not guarantee project placement, as final selection is based on assessment performance, demonstrated commitment, consistency of quality, project requirements, and available capacity.
TrustScale seeks contributors who consistently deliver high-quality work, actively engage with project requirements, and demonstrate reliability throughout the project lifecycle.
At TrustScale, your expertise helps shape the quality of AI systems used around the world. We believe that human judgment remains essential to building trustworthy AI. As an AI Quality Reviewer, your evaluations help define what good looks like—and your expertise becomes part of the foundation from which AI learns.
