Company Description:
MillionLogics is a trusted Oracle Partner and global leader in IT solutions, with operations in London, UK, and a development hub in Hyderabad, India. Specializing in innovative and scalable services, MillionLogics empowers enterprises through data & AI, cloud solutions, IT consulting, and custom application development. With a team of 85+ AI/ML experts, we deliver tailored solutions that foster digital transformation and operational excellence. We're committed to client success. We blend world-class technical expertise with strategic insight to deliver results.

Role Overview:
We are seeking a highly qualified Sports Domain Reviewer to support the quality assurance of Large Language Model (LLM) evaluation projects. In this role, you will review domain-specific prompts, evaluate completed tasks for accuracy and quality, ensure adherence to project guidelines, and provide actionable feedback to maintain high annotation standards. Your expertise in sports will help ensure the reliability, consistency,



and quality of AI evaluation data across a wide range of sporting disciplines

Offer details:
Mode of work: Remote
Employment Type: Contract
Commitments Required: Full time. 40 hours per week with at least 4 hours PST overlap
Start Date: Immediate
Years of Experience: 3+

Minimum Qualifications
Master's degree or higher in Sports Management, Sports Science, Kinesiology, Exercise Science, Physical Education, or another closely related discipline.
Minimum 3 years of professional, research, teaching, or industry experience in the sports domain.
Prior experience reviewing, evaluating, editing, or quality-checking domain-specific content is preferred.
Excellent written English communication and analytical skills.
Strong attention to detail and the ability to identify factual, logical, and contextual errors.

Preferred Qualifications
Experience reviewing AI-generated content, LLM evaluations, prompt engineering, or annotation quality.
Familiarity with qual

📌 Domain Expert (India)
🏢 Millionlogics
📍 India