Top Tech Jobs & Startup Jobs in Pune

Coordinate workforce planning and deployment for over 1,800 contributors across AI training projects. Allocate resources based on project demand and capacity, maintain deployment and availability records, monitor onboarding and throughput, identify conflicts and shortages, track requests, coordinate with project and training teams, conduct shift handoffs, and improve resource-planning processes and workflows.

Leads quality assurance for AI training data by managing review queues, auditing annotations, monitoring quality trends, coaching reviewers, clarifying guidelines, training new team members, identifying recurring errors, and escalating complex issues. The role also supports corrective actions and continuous improvement while ensuring accurate, consistent, and timely project delivery.

Create high-quality digital illustrations and graphic assets across multiple styles, including film noir, steampunk, cyberpunk, Art Deco, and vaporwave. Develop character-driven visuals, maintain stylistic consistency across variations, document prompts and workflows, incorporate feedback, and uphold quality standards. Requires advanced proficiency with Procreate, Adobe Illustrator, and Adobe Photoshop, a strong multi-style portfolio, and strong written English.

Leads AI data annotation teams through project delivery, translating client guidelines into workflows, setting production targets, monitoring quality and productivity metrics, coaching team members, managing staffing and deadlines, and resolving operational risks. Partners with QA and tooling teams to improve processes and maintain accurate, timely training data delivery in a fast-paced environment.

Lead and mentor 5–10 technical trainers creating and evaluating terminal-based AI training tasks. Review software, computational, electrical engineering, circuit, HDL, simulation, and automated grading tasks for correctness, reproducibility, numerical accuracy, performance, and reliability. Identify flawed assumptions, nondeterminism, race conditions, testing weaknesses, and technical inaccuracies. Allocate work, resolve blockers, provide detailed feedback, track revisions, and maintain technical documentation and quality standards.