Review and evaluate AI-generated responses, annotate and validate text/conversations, identify linguistic and contextual issues, and ensure annotations meet quality and linguistic guidelines to improve LLM performance.
Job Title: AI Data Annotator
Location: 100% Remote – USA
Employment Type: Long-Term Contract
Schedule: 40 Hours/Week
Locale: EN_AU (English – Australia)
🔹 Responsibilities
- Review and evaluate AI-generated responses.
- Annotate and validate text and conversations.
- Identify grammar, linguistic, and contextual issues.
- Help improve advanced AI and Large Language Models (LLMs).
- Ensure annotations meet defined quality and linguistic guidelines.
🔹 Preferred Qualifications
- Experience in AI Data Annotation or AI Training.
- Background in Content Review, Moderation, or QA.
- Experience with Translation / Localization or Linguistics.
- Strong English language and communication skills.
- Familiarity with ChatGPT, Gemini, Claude, Copilot, or similar AI tools is a plus.
✅ Eligibility
- Native-level English (Australia) – EN_AU speaker.
- Must be currently residing in the United States.
- Available to work 40 hours per week.
Similar Jobs
Information Technology • Software • Financial Services • Big Data Analytics
SREs at Citadel focus on optimizing and maintaining system reliability, performance, and automation for investment applications, collaborating closely with teams.
Top Skills:
Ci/CdCSSJavaScriptPythonReactSQL
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Supports People Business Partners with performance management, HRMS data maintenance, audits, employee lifecycle processing, compliance tracking, reporting, relocations, policy investigations, employee relations trends, and HR projects. The role requires strong analytical, communication, organizational, and stakeholder-management skills, along with proficiency in Microsoft Excel and HR systems.
Top Skills:
Human Resource Management Systems (Hrms)ExcelMS Office
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Leads end-to-end quality assurance for Workday implementations, upgrades, enhancements, and ERP-related initiatives. Develops QA strategies, test plans, and frameworks; oversees functional, integration, regression, and UAT testing; manages defects, test data, environments, releases, and quality reporting. Partners with stakeholders and delivery teams to ensure UAT readiness, issue resolution, requirements alignment, and adherence to QA governance and best practices.
Top Skills:
AgileAzure DevopsErpJIRAProfessional Services Automation (Psa)Workday
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
