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
Other • Utilities
Hunter-style outside B2B sales role targeting small businesses. Prospect, cold-call, and network to generate leads, recommend wireless solutions, negotiate and close deals, manage sales funnel and forecasts, and grow accounts within an assigned territory.
Top Skills:
Sales Force AutomationSalesforce
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Leads complex, cross-functional infrastructure programs including cloud migrations, platform modernization, reliability improvements, and cost optimization. Owns roadmaps, schedules, dependencies, risks, metrics, documentation, and operational readiness while coordinating engineering, SRE, product, and platform teams worldwide. Partners with technical and executive stakeholders, facilitates Scrum ceremonies, communicates program status, resolves blockers, and drives measurable business outcomes through strong technical program management and AI-enabled process improvement.
Top Skills:
AgileAi TechnologiesCloud InfrastructureJIRAScrumSite Reliability Engineering (Sre)
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Manage an engineering team building reusable infrastructure platforms and core distributed systems. Architect highly available services, review designs, plan roadmaps, optimize cloud costs, and enforce deployment standards across AWS and GCP. Lead planning, retrospectives, on-call practices, and reliability initiatives involving SRE, CI/CD, chaos engineering, and incident analysis. Develop engineering strategy, mentor senior engineers, and influence platform decisions across product teams.
Top Skills:
AIAnsibleAWSChaos EngineeringChefCi/CdDevOpsGCPGitopsGoLinuxPulumiPuppetPythonSaltSreTddTemporalTerraform
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
