Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Participate in a paid remote research interview about integrating vulnerability verification into CI/CD pipelines. Explain a recent project involving full-stack development, secure deployments, application security practices, and production pipeline challenges. Review conceptual secure application workflows and provide practical feedback. Candidates should have professional experience in full-stack engineering, DevSecOps, or security-focused backend development, with hands-on CI/CD configuration and vulnerability verification experience.

Evaluate conversations between users and an AI shopping assistant, identify logical errors, inaccuracies, and poor recommendations, and create structured rubrics and verifiers for judging response quality. This remote engagement requires at least 20 hours per week and focuses on improving model performance and e-commerce response quality.

Design and test challenging prompts based on complex professional or personal workflows. Identify AI failure points by iterating prompts in ChatGPT, then create a comprehensive grading rubric for evaluating model outputs. Participants must share their screen, camera, and microphone during the recorded trial and submit the prompt, failure notes, rubric, and generated output file. Successful participants may be considered for ongoing AI evaluation work.

The role involves gathering insights into decision-making processes related to solution selection within companies.

Participate in a 20-minute remote, AI-moderated study evaluating early concepts for qualitative research analysis tools. Review design mockups, compare proposed workflows with current research synthesis methods, and provide candid feedback on usability and product fit. The study is intended for UX researchers, product managers, product designers, and consumer insights professionals with hands-on experience analyzing qualitative research findings.

Build and evaluate complex financial models using corporate data, analyze financial datasets, document forecasting and decision-making processes, and explain modeling methodology through asynchronous screen sharing. This remote, flexible engagement requires approximately 20 hours per week and is intended for experienced corporate finance, FP&A, or strategic finance professionals based in the United States.

Design and document complex technical accounting and FP&A scenarios, edge cases, financial logic, and evaluation rubrics for AI reinforcement learning environments. Peer-review scenarios created by other experts for accuracy and depth. The work is conducted remotely through a platform for submitting and reviewing written financial logic.

Participate in a 30-minute remote interview describing daily sales and RevOps workflows, tooling and data pipelines, operational challenges, and evaluate potential workflow improvements for a paid research study.

Participate in a 45-minute remote video interview to describe your regular tasks, workflows, tools, decisions, and common challenges; share non-confidential examples to help researchers improve workplace productivity.