Reviewer Training & Calibration Lead (Freelancer)

About Us

Deccan AI Experts is a pioneering AI company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in high-quality human-curated data, AI-first operations, and advanced AI evaluation systems.

About the Role

We are seeking a Reviewer Training & Calibration Lead (Freelancer) to support advanced AI evaluation initiatives focused on reviewer onboarding, quality assurance, evaluator training, calibration programs, and assessment standardization.

In this role, you will design and evaluate reviewer training programs, calibration exercises, certification frameworks, and quality improvement initiatives. Your expertise will help ensure consistent evaluation standards across distributed reviewer teams while improving the reliability and quality of AI evaluation workflows.

This position is ideal for professionals with experience in learning & development, quality assurance, reviewer operations, training design, annotation programs, AI data operations, or workforce enablement.

Responsibilities

• Design and deliver reviewer onboarding programs for AI evaluation and quality assurance projects.
• Develop training materials, learning modules, reviewer guides, and standard operating procedures (SOPs).
• Plan and facilitate calibration sessions to align reviewers on evaluation guidelines and scoring standards.
• Measure and improve inter-rater reliability (IRR) by identifying inconsistencies and driving alignment across reviewer teams.
• Design reviewer certification programs, qualification assessments, and recertification processes.
• Monitor reviewer performance and provide structured coaching to improve accuracy, consistency, and productivity.
• Analyze quality metrics, reviewer trends, disagreement patterns, and calibration outcomes to identify improvement opportunities.
• Review AI-generated evaluation guidelines, rubrics, and reviewer documentation for clarity and completeness.
• Collaborate with quality, operations, and domain experts to continuously improve reviewer workflows and training effectiveness.
• Maintain documentation related to onboarding, calibration results, certification criteria, and quality standards.
• Provide structured feedback to improve AI evaluation processes and reviewer performance.

Requirements

• Bachelor's or Master's degree in Education, Psychology, Human Resources, Business Administration, Computer Science, Data Science, or a related field.
• 3+ years of experience in reviewer operations, learning & development, quality assurance, training, workforce enablement, AI data operations, or annotation management.
• Designing reviewer onboarding curricula and structured training programs.
• Planning and conducting reviewer calibration sessions to ensure consistent evaluation standards.
• Measuring and improving inter-rater reliability (IRR) using appropriate quality metrics and statistical methods.
• Providing individual and group coaching based on quality reviews, performance trends, and calibration findings.
• Designing and administering reviewer certification programs, qualification tests, and ongoing competency assessments.
• Developing evaluation rubrics, scoring guidelines, SOPs, playbooks, and knowledge base documentation.
• Experience using learning management systems (LMS), quality dashboards, spreadsheets, and collaboration tools is preferred.
• Strong analytical thinking, facilitation, and stakeholder management skills.
• Excellent written and verbal English communication skills.
• Ability to identify reviewer inconsistencies and implement scalable quality improvement initiatives.
• Ability to work independently in a remote, fast-paced environment.

Preferred Qualifications

• Experience leading reviewer, annotation, moderation, trust & safety, or AI data labeling teams.
• Experience with AI model evaluation, RLHF, benchmark development, or human-in-the-loop workflows.
• Familiarity with quality metrics such as precision, recall, agreement rates, Cohen's Kappa, or other reviewer consistency measures.
• Experience building certification frameworks for distributed or global reviewer teams.
• Background in instructional design, organizational learning, or workforce development is highly desirable.
• Professional certifications in Learning & Development, Quality Management, Instructional Design, or Project Management are an advantage.

Why Join Us

• Competitive hourly pay: ₹1,500/hour
• Fully remote with flexible working hours.
• Opportunity to contribute to cutting-edge AI evaluation and quality initiatives.
• Exposure to advanced AI systems focused on human evaluation, reviewer enablement, and quality assurance.
• Flexible project-based opportunities with global teams.
• Work on next-generation AI solutions supporting scalable, high-quality human evaluation.