AI Research Engineer

**Job Summary** We are accepting applications from individuals with backgrounds in deep learning, model research, and related areas of artificial intelligence to join our AI Research Engineer expert network for future independent project consideration. Potential projects involve carefully reviewing AI-generated explanations and examples, evaluating research reasoning, and identifying where proposed answers are inaccurate, incomplete, or misleading. **Apply at https://work.atasc.ai/join?entry=profile** **Duties** Depending on the scope of a future project, contributions may include: * Review AI-generated explanations and examples involving deep learning, model architectures, training methods, and model research. * Evaluate research reasoning, including experimental assumptions, methods, supporting evidence, and conclusions. * Identify potential problems such as confounded experiments, data leakage, inappropriate baselines, inconsistent evaluation protocols, and unsupported performance claims. * Assess whether ablation studies and model comparisons isolate the intended variables and support the conclusions presented. * Provide clear feedback explaining what needs correction and why, including limitations affecting reproducibility or interpretation. * Suggest appropriate checks that could strengthen an answer without claiming experiments, tests, or results that have not been completed. **Experience** * Relevant background in deep learning, model research, machine learning experimentation, or related areas through professional work, research, relevant study, or practical projects. * Ability to explain your individual contributions, research decisions, and methods for checking your conclusions. * Strong analytical reasoning and attention to detail when examining experimental designs, model evaluations, and technical explanations. * Ability to communicate complex ideas clearly and identify missing information, uncontrolled variables, or misleading conclusions. Applicants at different career stages, including those with early-career experience, are welcome. Describe your background and contributions honestly. A human reviewer evaluates your contributions and supporting evidence rather than assuming expertise from a job title. **Application Process** Applicants must be **18 or older**. Complete one profile application with your background, education, résumé, and responses to short expertise questions. Select all specialty areas that match your experience. For this specialty, the intake includes the following example: *An ablation claims a gain but changes the training data and evaluation protocol together. Explain how you would isolate variables, compare baselines, and report reproducibility limits.* Focus on your reasoning and proposed checks. Do not disclose confidential work or present unperformed experiments, tests, or outcomes as completed results. Profiles are reviewed before any later verification steps. Identity documents and a separate expertise file are not required to apply. Submitted evidence is not automatically considered verified. Regulated work requires a separate review of relevant credentials and the actual project scope. Approval means eligibility for future project matching, not professional licensure or guaranteed work. Any assignment depends on availability and agreed project terms. Compensation is agreed separately for each actual project. **This is an application for future project consideration, not a currently open paid assignment or funded vacancy.** Enrollment is free. Acceptance into the network does not guarantee assignments or earnings. Pay: $50.00 - $100.00 per hour Work Location: Remote