Senior Quality Lead

Guide quality assurance teams to enhance AI annotation accuracy.

About Turing:
Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Serve as the subject-matter expert for complex quality decisions in AI annotation projects. You will guide QA Leads, resolve ambiguous cases, lead calibration efforts, and use audit insights to improve guidelines, training, and overall data quality.

Key Responsibilities

• Convert complex client guidelines into clear internal instructions.
• Validate project setup before production begins.
• Mentor and calibrate QA Leads and annotation teams.
• Lead calibration sessions and maintain reviewer consistency.
• Resolve escalated or ambiguous cases and document decisions.
• Lead pilot teams testing new task templates.
• Identify high-performing reviewers for accelerated review workflows.
• Analyze audit results and recommend guideline or training improvements.
• Support the Quality Lead when required.

Required Qualifications

• 4–6 years of overall experience, including 2+ years leading QA reviewers.
• Strong experience auditing work against detailed guidelines.
• Excellent judgment and decision-making skills for complex cases.
• Strong communication and documentation skills.
• Experience in annotation, data labeling, AI training data, or multimodal projects is preferred.

Perks of Freelancing With Turing:

• Work at the forefront of AI applications in accounting and finance.
• Fully remote and flexible work environment.
• Opportunity to collaborate on high-impact projects with global reach.

Offer Details:

1. This is a project-based role involving a defined number of evaluation tasks.
2. Each task will involve comparing multiple chatbots and providing a final assessment.
3. Work Schedule: Five working days per week, including weekends as required, with two weekdays off.
4. Work Hours - 7am-4pm PST
5. Duration: 16 weeks.

Skills: Quality Management, QA, Team Management