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Biologist Jobs in Denton, TX
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Biologist • denton tx
Remote Biologist - AI Trainer
SuperAnnotateCorinth, Texas, US- dentist (from $ 160,097 to $ 300,000 year)
- general dentist (from $ 163,847 to $ 300,000 year)
- engineering director (from $ 113,691 to $ 240,100 year)
- modeling (from $ 93,438 to $ 217,474 year)
- medical director (from $ 28,866 to $ 215,000 year)
- cloud architect (from $ 156,000 to $ 211,000 year)
- design director (from $ 150,113 to $ 210,500 year)
- family medicine (from $ 42,620 to $ 209,750 year)
- product director (from $ 144,000 to $ 206,827 year)
- owner operator (from $ 97,500 to $ 200,000 year)
- Dallas, TX (from $ 60,770 to $ 150,000 year)
- San Mateo, CA (from $ 64,114 to $ 146,000 year)
- San Jose, CA (from $ 64,944 to $ 145,314 year)
- San Bernardino, CA (from $ 65,000 to $ 144,809 year)
- San Diego, CA (from $ 65,708 to $ 143,327 year)
- San Francisco, CA (from $ 63,852 to $ 140,000 year)
- Boston, MA (from $ 65,325 to $ 139,050 year)
- Atlanta, GA (from $ 80,648 to $ 135,345 year)
- Portland, OR (from $ 53,750 to $ 129,289 year)
- Irvine, CA (from $ 74,172 to $ 128,950 year)
The average salary range is between $ 49,390 and $ 105,476 year , with the average salary hovering around $ 63,325 year .
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Remote Biologist - AI Trainer
SuperAnnotateCorinth, Texas, US- Full-time
- Remote
We’re seeking biologists to join our AI training project. In this role, you will review AI-generated responses, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check biological information; write high-quality biological explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on biological correctness and reasoning quality.
Key Responsibilities :
- Develop AI Training Content : Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
- Optimize AI Performance : Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
- Ensure Model Integrity : Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
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