Mechanical Engineering Expert

It depends on the specific role. Specialist positions in ML research, atmospheric modeling, bioinformatics, COBOL, or audit accounting require verifiable credentials, typically a PhD, master's degree, or 5+ years of professional experience in that field. AfterQuery's domain screeners verify credentials before confirming your assignment, so listing your degree without the underlying experience will not get you through. Generalist reviewer roles have a lower bar, but they are rarer on this platform.

Assignments typically run 2–3 weeks at 10–20 hours per week. This is not a long-term arrangement. Once a project closes, there is no guaranteed follow-on work. Plan for it as a high-pay burst contract rather than a stable income source. AfterQuery does re-hire specialists for new campaigns, but availability depends entirely on what AI labs are training at the time.

Payment terms are set per contract. Unlike weekly-payout platforms, AfterQuery operates on enterprise contract schedules, typically net-15 to net-30 from invoice submission. Review the specific payment terms in your contract before starting. If schedule clarity matters for your cash flow, ask your project contact before committing.

No. This is closer to academic research. You will likely be writing or verifying complex proofs, solving advanced equations, or checking the logic of a model's step-by-step reasoning. The goal is to teach AI systems to reason deeply in your field.

For the highest pay tiers in this category, a PhD (or current enrollment) is usually expected. However, the most important factor is your ability to pass the domain assessment. If you can solve the problems, the degree is secondary.

Work in niche fields is often project-based. A specific "campaign" (e.g., training a model on Quantum Mechanics) might last for a few weeks. It is best to treat this as a high-paying fellowship or grant rather than a permanent daily job.