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Python programming Jobs in Gresham, OR
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Python programming • gresham or
Remote Senior Python Engineer - AI Trainer
SuperAnnotateGresham, Oregon, US- medical office (from $ 35,100 to $ 210,148 year)
- city (from $ 43,000 to $ 205,000 year)
- drug counselor (from $ 37,050 to $ 200,000 year)
- architect (from $ 143,038 to $ 190,000 year)
- pharmacist (from $ 144,753 to $ 185,536 year)
- cad (from $ 42,445 to $ 184,784 year)
- business development director (from $ 108,148 to $ 178,880 year)
- network engineer (from $ 115,800 to $ 167,500 year)
- business development (from $ 53,540 to $ 161,197 year)
- system engineer (from $ 72,500 to $ 158,418 year)
The average salary range is between $ 95,000 and $ 145,000 year , with the average salary hovering around $ 109,600 year .
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Remote Senior Python Engineer - AI Trainer
SuperAnnotateGresham, Oregon, US- Full-time
- Remote
As a Senior Python Engineer, you will work remotely on an hourly paid basis to review AI-generated Python solutions and technical explanations, as well as generate high-quality reference content that demonstrates strong software engineering practices. You will assess solutions for correctness, code quality, performance, and adherence to the prompt; identify errors in logic, architecture, or methodology; fact-check technical information; craft clear, step-by-step explanations and exemplary solutions; and rate and compare multiple AI responses based on their reasoning quality and implementation soundness.
This is a fully remote, hourly paid contractor role with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies and foundation model labs, where your Python expertise will directly help improve the world’s premier AI models.
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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