Biologist Jobs in Portland, OR
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Biologist • portland or
Last updated: 7 days ago
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 feedba...Show moreLast updated: 27 days ago
The OHSU Knight Cancer Institute is internationally recognized for pioneering advances in personalized cancer treatment and early detection.
From transforming Chronic Myeloid Leukemia with Gleevec t...Show moreLast updated: 28 days ago
Practice / Department : Emerging Regions .Internal Title : As-Needed Biologist .Work Environment : Field with up to 20% office work .
Compensation : $25-35 / hourly • .Dudek’s journey began in 1980 with a v...Show moreLast updated: 7 days ago
Remote Biologist - AI Trainer
SuperAnnotateBeaverton, Oregon, USRemote
Full-time
Computational Biologist 2
Oregon Health & Science UniversityPortland, OR, USFull-time
- Promoted
As-Needed Field Biologist - Portland
DudekPortland, OR, United StatesFull-time
The average salary range is between $ 53,750 and $ 129,289 year , with the average salary hovering around $ 85,000 year .
- newspaper delivery (from $ 22,500 to $ 302,900 year)
- group project manager (from $ 79,229 to $ 250,000 year)
- chief information officer (from $ 114,289 to $ 244,100 year)
- chief operations officer (from $ 145,000 to $ 244,100 year)
- owner operator (from $ 78,000 to $ 235,000 year)
- pediatrician (from $ 38,688 to $ 233,413 year)
- chief operating officer (from $ 112,320 to $ 228,108 year)
- dentist (from $ 37,440 to $ 225,000 year)
- healthcare manager (from $ 85,332 to $ 225,000 year)
- investment banking (from $ 105,000 to $ 222,200 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 .
Remote Biologist - AI Trainer
SuperAnnotateBeaverton, Oregon, US27 days ago
Job type
- Full-time
- Remote
Job descriptionYou hold a BS Degree in Biology Biology, Molecular Biology, Biochemistry, Physiology, or a closely related life-science field in one of the top 100 universities. Confident in human and animal biology, molecular pathways, physiology, disease / health fundamentals, and lab / experimental reasoning. Expert at fact-checking information using public sources across multiple domains. You communicate biology clearly and turn advanced theory into real-world solutions. English proficiency C1 and above with excellent writing skills. Bonus : Data labeling, RLHF, or AI model evaluation experience.
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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