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.
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What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
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- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
