AI Data Labeling (Remote USA)

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.

Role Overview

We are looking for detail-oriented professionals to support the development and improvement of AI models through high-quality data review and annotation. In this role, you will evaluate, classify, label, and validate content based on detailed project guidelines, ensuring accuracy and consistency across datasets used to train and assess AI systems.

The ideal candidate has excellent attention to detail, strong analytical thinking, and the ability to follow instructions with precision. This is an exciting opportunity to contribute to cutting-edge AI projects while gaining hands-on experience in the rapidly evolving field of artificial intelligence.

Key Responsibilities

• Review, label, classify, and validate data according to project guidelines.
• Ensure accuracy, consistency, and quality across assigned tasks.
• Identify edge cases, discrepancies, and annotation issues, escalating them when appropriate.
• Perform quality checks and provide clear, constructive feedback.
• Meet productivity and quality targets while working independently in a remote environment.

Requirements

• Must be currently based in the United States. Applications from candidates outside the US will not be considered.
• Strong English reading, writing, and comprehension skills.
• Excellent attention to detail and analytical abilities.
• Ability to interpret guidelines and apply them consistently.
• Good communication and collaboration skills.
• Self-motivated with the ability to work independently.
• Desktop or laptop with a reliable internet connection.

Preferred Qualifications

• Prior experience in data annotation, content review, quality assurance, or similar work is preferred.
• Familiarity with AI or machine learning data projects is a plus.
• Basic proficiency with Google Workspace or Microsoft Office.
• Strong problem-solving skills and the ability to make consistent, objective decisions.

Offer Details

• Candidate Location: United States only
• Commitment Required: At least 4 hours per day and a total of 40 hours per week with 4 hours of overlap with PST.
• Engagement Type: Contractor assignment / Freelancer (no medical or paid leave).
• Duration of Contract: 3–4 weeks.
• Time Zone Requirement: This role will require some overlap with UTC-8:00 (America/Los_Angeles) for 4 hours per day.