Hindi Quality Control Lead - Project Lyra

Overview
Are you an experienced quality assurance professional with a passion for language quality, AI, and team leadership? We are looking for a Hindi-speaking Quality Control Lead to join a large-scale AI training program. In this role, you will lead the quality strategy for the Hindi locale, ensuring consistent guideline application, coaching Quality Control Reviewers, and maintaining high-quality standards across a variety of AI training tasks.
This is an exciting opportunity to combine your expertise in language quality, AI data annotation, and people leadership while helping improve the next generation of AI systems.
What you will do:
Lead and support a team of approximately 10 Quality Control Reviewers, ensuring consistent quality standards across the Hindi locale.
Review reviewer feedback, audit quality, and ensure alignment with project guidelines.
Act as the primary quality point of contact for the Hindi locale, resolving quality questions and escalating complex issues when necessary.
Conduct calibration sessions and provide structured coaching to improve reviewer performance.
Monitor quality trends, identify risks, and proactively address performance gaps.
Support the onboarding and development of new Quality Control Reviewers.
Collaborate with global Quality Teams to improve processes, documentation, and quality consistency across AI training tasks.
Project Details:
Start Date: ASAP
Commitment: 30–40 hours/week
Job Type: Fixed-term contract
Location: Remote
Requirements:
Native-level proficiency (CEFR C2 or equivalent) in Hindi.
Professional written and spoken English.
Minimum 2 years of experience in AI training, data annotation, linguistic quality, localization QA, or a related quality assurance role.
At least 1 year of experience leading or supervising reviewers, annotators, or quality teams.
Strong understanding of linguistic quality, including grammar, fluency, tone, register, and cultural nuances.
Experience providing structured, evidence-based feedback and coaching others to improve quality.
Excellent analytical skills with the ability to evaluate complex tasks where there may not be a single correct answer.
Strong organizational skills and the ability to manage multiple priorities in a fast-paced remote environment.
Nice to have:
Degree in Linguistics, Computer Science, Engineering, or another analytical field.
Experience with Large Language Models (LLMs), RLHF, AI data annotation, prompt evaluation, or NLP projects.
Familiarity with annotation platforms and quality management processes for AI datasets.
This is a unique opportunity to take a leadership role in a cutting-edge AI program while helping ensure the highest quality standards for Hindi language data.
Join our team and help shape the future of AI communication!