×
Register Here to Apply for Jobs or Post Jobs. X

AI Safety Annotation Reviewer

Remote / Online - Candidates ideally in
New York, New York City, Richmond County, New York, USA
Listing for: Turing
Full Time, Remote/Work from Home position
Listed on 2026-10-26
Job specializations:
  • Quality Assurance - QA/QC
    Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: New York

Audit AI annotations for accuracy and policy compliance. About Turing

Turing is an AI-powered tech services company with a mission to accelerate AGI advancement and deployment by bridging the gap between global talent from 100+ countries and the world's best foundational LLM companies, by helping them improve performance through model evaluation, fine-tuning, feedback, factuality and handling diverse data.

Role Overview

A US based AI company that is at the forefront of AI research is looking for a Team Lead to oversee a team of business analysts. This opportunity is tailored for professionals who have experience in leading teams and has interest in supporting the development of solutions at the cutting-edge of technology.

Job Responsibilities
  • Audit trainer-submitted evaluations for policy misapplication, incomplete reasoning, scoring drift, schema errors, and annotation inconsistencies.
  • Apply a detailed AI safety policy framework consistently across high-stakes review tasks.
  • Identify individual and systematic errors in human-generated annotations and written assessments.
  • Validate annotation completeness, scoring accuracy, policy alignment, and adherence to required schemas.
  • Provide direct, constructive feedback to trainers and recommend corrective actions when quality issues are identified.
  • Document recurring error patterns and contribute to quality improvement, calibration, and reviewer training initiatives.
  • Maintain accuracy and consistency while working under time-sensitive conditions and handling sensitive content.
Job Requirements
  • Sharp attention to detail and strong analytical and logical reasoning skills.
  • Demonstrated experience identifying systematic errors in human-generated annotations, evaluations, or written assessments.
  • Ability to quickly understand and consistently apply detailed policy guidelines.
  • Native-level English fluency and strong written communication skills.
  • Comfort providing clear, direct, and constructive feedback.
  • Strong understanding of US cultural context and communication norms.
  • Ability to work independently, manage priorities, and maintain quality under time pressure.
  • Availability to commit to 40 hours per week; immediate availability is preferred.
Preferred Qualifications
  • Experience in AI annotation review, Trust & Safety quality assurance, test engineering, content moderation, or editorial fact-checking.
  • Previous experience with schema validation, policy compliance reviews, annotation completeness checks, or quality auditing.
  • Experience working with sensitive or high-stakes content.
Importante

Note:

This project includes sensitive content involving topics such as self-harm, violence, and abuse. Appropriate waivers, support resources, and wellbeing measures will apply.

Benefits
  • Opportunity to work on cutting-edge AI projects.
  • Competitive compensation.
  • Flexible working hours and remote work environment.
Application Process
  • Shortlisted candidates will be reached out.
Skills:

Project Management

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary