Technical Professional

Handshake AI · Remote

Commitment
part-time
Source
handshake-ai
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About this role

Opportunity Overview Handshake is looking for experienced software engineers, data scientists, and quants to support AI research through flexible, part-time contract work. This is not a traditional job — you'll draw on your hands-on experience building and reasoning about production systems, models, or quantitative strategies to evaluate AI-generated content and provide feedback that helps AI reason like a practicing technical professional. This is an ongoing, project-based opportunity you can take on alongside your current role. What You'll Do Use your domain expertise to create expert-level technical problems and scenarios grounded in real system design, modeling, and analysis work Review and evaluate AI-generated responses for technical accuracy, practical feasibility, and alignment with how the work is actually done Provide structured written feedback to help improve AI model performance Complete tasks at your own pace with no set schedule or minimum hour requirement Qualifications Ideal candidates meet all three of the following: Industry/research experience — minimum 1 year of professional experience at a top company, with direct hands-on work as a software engineer, data scientist, or quant Degree — Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field Sub-domain depth — demonstrated expertise in one of the following areas: Software engineering (system design, backend/infrastructure, or production code) Data science (machine learning, statistical modeling, or applied ML) Quantitative finance (quant research, trading strategies, or risk modeling) Additional qualifications (not required, but strengthen your application) Experience at a recognized, top-tier tech company or quant firm Required for all applicants Based in the United States Strong written communication and attention to detail Ability to explain complex technical concepts clearly Ability to work independently in a remote, asynchronous environment

Skills & domains