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For Companies At a Glance
- Tasks: Review and evaluate AI scenarios, ensuring logic and clarity for cutting-edge projects.
- Company: Join Mindrift, a leader in ethical AI development with a collaborative culture.
- Benefits: Earn up to $44/hour, enjoy flexible remote work, and enhance your portfolio.
- Why this job: Shape the future of AI while working on innovative projects that matter.
- Qualifications: Strong analytical skills, attention to detail, and good communication in English.
- Other info: Ideal for curious minds seeking real-world experience in AI evaluation.
Who we’re looking for
We’re looking for curious and intellectually proactive contributors who double‑check assumptions and play devil’s advocate. Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated?
About the project
We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you’ll have to balance quality assurance, research, and logical problem‑solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases.
What you’ll be doing
- Review evaluation tasks and scenarios for logic, completeness, and realism.
- Identify inconsistencies, missing assumptions, or unclear decision points.
- Help define clear expected behaviours (gold standards) for AI agents.
- Annotate cause‑effect relationships, reasoning paths, and plausible alternatives.
- Think through complex systems and policies as a human would to ensure agents are tested properly.
- Work closely with QA, writers, or developers to suggest refinements or edge‑case coverage.
How to get started
Apply to this post, qualify, and get the chance to contribute to a project aligned with your skills, on your own schedule. Shape the future of AI while building tools that benefit everyone.
Qualifications
- Excellent analytical thinking: reason about complex systems, scenarios, and logical implications.
- Strong attention to detail: spot contradictions, ambiguities, and vague requirements.
- Familiarity with structured data formats: read JSON/YAML.
- Can assess scenarios holistically: identify what’s missing, unrealistic, or might break.
- Good communication and clear writing (in English) to document findings.
- Experience with policy evaluation, logic puzzles, case studies, or structured scenario design.
- Background in consulting, academia, olympiads (logic/math/informatics), or research.
- Exposure to LLMs, prompt engineering, or AI‑generated content.
- Familiarity with QA or test‑case thinking (edge cases, failure modes, “what could go wrong”).
- Some understanding of how scoring or evaluation works in agent testing (precision, coverage, etc.).
- Open to a part‑time, non‑permanent, flexible, remote freelance project that fits around existing commitments.
- Desire to participate in an advanced AI project and enhance your portfolio, influencing how future AI models understand and communicate in your field of expertise.
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AI Agent Evaluation Analyst - AI Trainer employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Agent Evaluation Analyst - AI Trainer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who are already working at Mindrift or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got experience with analytical thinking or structured data formats, create a portfolio showcasing your work. This could be anything from case studies to personal projects that highlight your expertise.
✨Tip Number 3
Prepare for interviews by diving deep into the role. Understand the complexities of AI systems and think about how you would approach evaluating them. Being able to discuss real-world scenarios will impress interviewers.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at Mindrift.
We think you need these skills to ace AI Agent Evaluation Analyst - AI Trainer
Some tips for your application 🫡
Show Off Your Analytical Skills: When you're writing your application, make sure to highlight your analytical thinking. We want to see how you approach complex systems and scenarios, so share examples that showcase your ability to reason through ambiguity and detail.
Be Clear and Concise: Good communication is key! Use clear and straightforward language in your application. We appreciate well-structured writing that gets straight to the point, so avoid fluff and focus on what makes you a great fit for the role.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your responses to the specific responsibilities and qualifications mentioned in the job description. We love seeing candidates who take the initiative to connect their experience with what we’re looking for.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Mindrift
✨Understand the Role
Before your interview, make sure you thoroughly understand the responsibilities of an AI Agent Evaluation Analyst. Familiarise yourself with the tasks mentioned in the job description, like reviewing evaluation tasks and identifying inconsistencies. This will help you speak confidently about how your skills align with what they’re looking for.
✨Showcase Your Analytical Skills
Since this role requires excellent analytical thinking, prepare examples from your past experiences where you've successfully navigated complex systems or scenarios. Be ready to discuss how you approach problem-solving and how you ensure thoroughness in your evaluations.
✨Communicate Clearly
Good communication is key! Practice articulating your thoughts clearly and concisely. You might be asked to explain your reasoning behind certain decisions or findings, so being able to document your thoughts effectively will demonstrate your fit for the role.
✨Prepare for Scenario Questions
Expect to encounter scenario-based questions during your interview. Think through potential edge cases or ambiguous situations related to AI evaluation. Practising how you would approach these scenarios can showcase your critical thinking and attention to detail, which are crucial for this position.
