HIRING: Top-Tier AI Data Annotation & Evaluation Specialists -- 4

@SkillCrafts

I understand you're looking for specialists to design complex, multi-stage agent tasks and rigorously evaluate LLM performance, similar to how I've benchmarked AI agent capabilities by developing adversarial testing suites and analyzing emergent behaviors in simulated environments. My approach focuses on creating diverse, realistic scenarios that push agent boundaries. My technical methodology involves leveraging Python and libraries like Langchain or LlamaIndex to programmatically define task workflows and orchestrate LLM interactions. I'll employ structured logging and result parsing to capture granular performance metrics, including task completion rates, error types, and adherence to constraints. This data will be analyzed using statistical methods and visualized to identify strengths and weaknesses across different models and task domains. To ensure optimal alignment, could you clarify the preferred format for structured evaluations and the specific types of emergent behaviors you're most interested in identifying? I'm eager to discuss how my expertise can directly contribute to shaping the next generation of AI agents.

@eduard141

Hi, I'm a Senior Software Engineer with 10+ years of experience across full-stack development, AI-powered applications, cloud infrastructure, and automation. I've worked extensively with LLMs, AI agents, evaluation workflows, prompt engineering, and Python-based tooling. This role is particularly interesting to me because it goes beyond simple prompt evaluation and focuses on real-world agent behavior, tool coordination, safety assessment, and structured benchmarking. I have experience designing complex workflows, analyzing system behavior, writing Python tests, creating evaluation criteria, and working with AI-driven products in production environments. I'd love the opportunity to contribute to improving the next generation of AI agents and would be excited to discuss how my background aligns with your needs. Thank you for your time and consideration. Best regards, Eduard

@jtmerch

Choosing me for your AI Agent Evaluator project means choosing a developer experienced in designing complex, multi-stage AI tasks and evaluating agentic systems. I can create real-world tasks spanning domains like health, finance, and productivity, benchmark multiple models in OpenClaw, and produce structured, atomic rubrics with weighted criteria. I’ll also annotate safety failures accurately and implement pytest unit tests to validate final states. With experience in agentic AI evaluation, Python testing, and structured data annotation, I can deliver thorough, reliable results efficiently. I focus on precise, reproducible outputs that help train next-generation AI agents. Thanks, Joseph

@hareshfinadiya

Hi, I am Haresh, having 14+ years of experience in Software Testing Industry. - Having unique blend of knowledge in Quality Product Delivery, Processes Management, Functional testing, Integration and regression testing, load and Perfromance Testing which help me to take the Quality of the software to the next level. - Hands on experience on testing Desktop, Web Based, Mobile application and ERP based application. - Hands on experience on automation testing tools on selenium webdriver, jmeter, katalon studio, Appium, cypress, selenium with TestNG freamwork etc.. - Thorough understanding of Product Delivery Life Cycle, Software Testing Life Cycle and Software Development Life Cycle. - Experience in Well conversant with writing Test plan,Test Cases,Bug report, Release Note and Product Health Report. - Worked in various domains like Finance, Retail, Web Portals, Healthcare, ecommnerce, CMS, Eduction Portal, Life Insurance, ERP system etc. - I do have require mobile devices to test mobile view or applications like android and iOS applications. - I have hands on experience with Git, postman, MSSQL Server. Kindly review my profile and let me know you view over the same. Thanks, Haresh

@arilrivenski

Hi there, I am excited about the opportunity to contribute to the cutting-edge field of AI agent evaluation. With my strong background in Artificial Intelligence and Machine Learning, I am well-equipped to design complex multi-stage tasks that reflect real-world constraints. I understand that this role requires not only technical skills but also a critical eye for detail. I have experience in creating structured evaluation rubrics that will ensure meaningful differences across AI models. This will directly support benchmarking and improving AI agents, an endeavor I'm passionate about. In my approach, I will leverage Python to implement pytest-based unit tests that validate outcomes and ensure that the final artifact meets all criteria set forth in the evaluation rubrics. I am also available to communicate in real-time according to your time zone and can provide a simple demo or a portion of the project within 12 hours of commencement. Q1: What specific domains are you most interested in for the agent tasks? Q2: Are there any particular AI models you aim to focus on during the evaluation? Q3: What tools and systems are currently being used to support this project? Thanks, Aril

@awaisahmedkarni

I noticed you need a reliable AI Agent Evaluator who can design and test complex AI tasks with clear results. I have strong experience in AI evaluation, data labeling, and testing AI systems. I understand how to review full agent steps, check tool use, and judge final outputs in a clear and fair way. I also have hands-on Python skills for writing simple pytest tests. Here is what I bring to your project: ✅ Experience in AI evaluation and rubric-based scoring ✅ Ability to design multi-step real-world tasks with clear outcomes ✅ Strong focus on tool use, reasoning, and agent behavior analysis ✅ Skill in writing clear, atomic evaluation rubrics with fair scoring ✅ Experience in safety review and structured error tagging ✅ Basic Python and pytest for test validation I do not just check answers — I study how the AI thinks, plans, and uses tools to solve real problems. Can you share more about your current evaluation setup and the main models you are testing? I would like to understand your workflow so I can match your needs well. Looking forward to working with you.

@sniegul

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