Advanced Coders - AI Training - [Remote] at Braintrust | Torre

Advanced Coders - AI Training - [Remote]

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Freelance
Recurrent
Compensation
USD36 - 45/hour
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Remote (for United States residents)
Remote (for Canada residents)
Remote (for Australia residents)
Remote (for New Zealand residents)
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Visa sponsorship: No
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Posted over 2 years ago

Requirements and responsibilities


Braintrust is a user-owned talent network that connects top-tier professionals with the world's leading enterprises. We prioritize transparency, eliminating middlemen and high markups, ensuring job-seekers are matched swiftly to innovative roles while clients benefit from unparalleled efficiency and quality. Braintrust is seeking experienced software engineers to work on training AI large language models. This is a part-time freelance position with a flexible schedule, allowing you to work as much or as little as you choose. The hourly range is $36 - $45/hr, and the estimated duration is 20 hours per week. The ideal candidate will have 3+ years of experience in software engineering, complete fluency in English, and the ability to articulate complex scientific concepts in a clear and engaging manner. Preferred qualifications include a Bachelor's and/or Master’s degree in Computer Science, proficiency in additional programming languages, and data science experience. The role involves training AI models, solving complex coding problems, optimizing code efficiency, writing test cases, and providing human-readable summaries of coding problems. No previous experience with AI is necessary, as detailed instructions will be provided after the application and verification process. If you believe you are a top candidate for this job, please join our network to give yourself the opportunity to work with top companies. Responsibilities: - Complete a brief onboarding assessment, including an async assessment and identity verification - Train AI large language models - Solve highly complex coding problems - Optimize code to run at maximum efficiency - Write robust test cases to confirm code works efficiently and effectively - Write human-readable summaries of coding problems - Write explanations of how code can solve problems and evaluate various solution approaches
Optionally, you can add more information later (benefits, pre-screening questions, etc.)
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