Jobs at Terac

Participate in a paid 90-minute remote interview about autonomous driving and ADAS engineering workflows. Discuss map data integration, pipeline architecture, tooling decisions, organizational structures, and development workflows at a high level without sharing proprietary information.

Participate in a 25–45 minute AI-moderated video interview about luxury ready-to-wear fashion purchases, shopping journeys, brand preferences, and loyalty. Participants must be active luxury apparel consumers, comfortable discussing their experiences on recorded video, and have a desktop or tablet with a functioning camera and microphone. Compensation is $105 for the completed study.

Paid remote research study for professionals who manage projects or coordinate team resources. Participants will interact with a clickable prototype, complete planning and resource-allocation tasks, think aloud, and provide feedback on workflow, layout, and user experience during a video call.

Participate in a paid remote interview about AI-assisted software engineering. Discuss your development workflow, use of coding assistants such as Copilot, Cursor, or Claude Code, model comparisons, debugging practices, prompt strategies, and challenges with generated code.

Participate in a paid, remote interview about your SMB’s payroll and HR software stack. Discuss administrative workflows, employee data and compensation management, software features, integrations, usability, competitor platforms, and challenges faced by SMB HR teams. Participants should be active HR, payroll, operations, or business professionals with direct experience evaluating, implementing, or administering HR and payroll systems.

Participate in a paid remote interview about customer research workflows. Discuss an end-to-end research project, tools used, budget allocation, purchasing decisions, platform adoption triggers, and reactions to product messaging and go-to-market concepts.

Participate in a remote paid interview about daily accounting workflows and the use of AI assistants. Discuss practical accounting tasks, AI integration, efficiency gains, limitations, hypothetical scenarios, and software usage. Candidates should be active accountants or finance professionals who regularly use AI tools and can explain detailed financial workflows.

Participate in a 20-minute AI-moderated remote interview about your independent merchant business. Discuss your current point-of-sale system, payment terminals, hardware and software purchasing decisions, payment-processing challenges, and local advertising tools. Applicants should be owners, general managers, or operational leaders directly involved in managing business operations and selecting merchant technology.

Participate in a remote usability study about creating and launching research projects. Share your screen, explain your typical study setup process, complete prototype tasks, think aloud, and provide feedback on usability, efficiency, confusing steps, and desired features.

Review and rank AI-generated transaction finance outputs for accuracy, relevance, and logical consistency. Annotate errors, identify hallucinations, and provide concise written explanations for ranking decisions. The asynchronous remote study is intended for professionals with experience in transaction finance, M&A, investment banking, corporate development, or related financial modeling and deal-structuring work.

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.