Technical Program Manager

About Turing:

Turing is a superintelligence accelerator that closes the loop between frontier AI labs and enterprise deployment, turning real enterprise work into the training inputs that frontier models need in order to improve real-world performance. The company's mission is to accelerate superintelligence and drive real economic progress. Learn more at www.turing.com.

Role Overview:

• We are looking for a Technical Program Manager to support the Central Task Platform (CTP), Turing's internal platform for deploying AI training canvases to talent at scale.
• In this role, you will own user acceptance testing (UAT) for new platform and canvas features, with a particular focus on workflows used by Project Leads (SPLs). You will also help manage timelines, dependencies, and feedback across a portfolio of 15–20 active project canvases.
• The ideal candidate understands how AI data delivery operations work—including task design, talent workflows, quality control, throughput, and project execution—and can translate that operational knowledge into rigorous testing and clear coordination across Engineering, Product, and Delivery teams.

Responsibilities:

• Plan and execute UAT for new CTP and project canvas features, including test planning, execution, and release sign-off recommendations.
• Document, track, and verify defect resolution.
• Maintain release timelines and status updates across multiple concurrent projects.
• Gather, consolidate, and report feedback from Project Leads and Delivery teams after feature launches.
• Prepare status reports, test summaries, and root-cause documentation.
• Coordinate with Engineering, Product, and Delivery teams to support timely, high-quality releases.
• Evaluate how platform changes impact task design, talent workflows, QC, throughput, and delivery

Qualifications and Requirements:

• 6+ years of experience across program/project management, delivery operations, and consulting.
• 3+ years of experience managing multiple concurrent technical projects.
• 2+ years of experience in AI data delivery, annotation, RLHF, evaluation operations, or managing distributed human workforces.
• Hands-on experience with UAT and QA test planning for web-based platforms.
• Strong project coordination, documentation, and stakeholder management skills.
• Ability to translate operational requirements into test cases and acceptance criteria.
• Excellent written and verbal communication skills.
• Strong attention to detail and ability to manage multiple priorities.

Offer Details:

• Commitments Required: At least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST.
• Engagement type: Contractor assignment/freelancer (no medical/paid leave)
• Duration: 12 months

Evaluation Process:

• Shortlisting based on qualifications and relevant professional experience with 2-3 rounds of interview.