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Clients rate Toptal LLM evaluators 4.9 / 5.0 on average based on 606 reviews.
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Rachel Park

LLM Evaluator
UTC-08:00
United States
Toptal Member Since April 21, 2020

Rachel is a big data professional experienced in various domains, including robotics, biotech R&D, entertainment/media, and healthcare. With 10+ years of experience in data mining and machine learning technologies, she's a proactive leader with strengths in communication and collaboration. With her expertise in the ML ecosystem, both on-prem and cloud-based, Rachel promotes automated data solutions and manages concurrent objectives to drive efficiency and influence positive outcomes.

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Enes Gokce

LLM Evaluator
UTC-05:00
United States
Toptal Member Since October 9, 2020

Enes is a data scientist with eight years of experience in machine learning (ML) and natural language processing (NLP). He has a demonstrated history of working with deep learning and extensive experience programming in Python and R. His areas of professional interest include generative AI (GenAI), large language models (LLMs), and hybrid AI solutions with retrieval-augmented generation (RAG) systems.

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Rado Fulek

LLM Evaluator
UTC-05:00
United States
Toptal Member Since July 28, 2021

Rado is a developer with versatile programming and problem-solving skills and six years of software development experience. Furthermore, he conducted cutting-edge research about graph algorithms and published 50+ research articles. His main strengths are in back-end development, but his diverse professional experience allows him to work efficiently on the front end. Rado's industry experience is backed by a bachelor's and master's degree in computer science and a PhD in mathematics.

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Skyler Insler

LLM Evaluator
UTC-05:00
United States
Toptal Member Since February 5, 2026

Skyler is a senior engineering leader with over 18 years of experience building full-stack software, cloud-native web and data infrastructure, and implementing AI workflows at scale. He has defined technical strategies, led senior engineering teams, and partnered with non-technical teams to deliver lasting solutions used by millions of daily users. Skyler is a hands-on contributor across architecture, implementation, and organizational execution.

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Tety Loscutoff

LLM Evaluator
UTC-05:00
Canada
Toptal Member Since June 17, 2022

Tety is a technology entrepreneur who strives to provide clients with end-to-end service when creating new software solutions or revamping old ones. Some of the projects she has completed include financial and accounting systems, AI-powered document processing, forecasting, and anomaly detection. Tety has worked for clients across various countries and industries, including energy, government, education, and biotechnology.

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Hernan Marano

LLM Evaluator
UTC-03:00
Argentina
Toptal Member Since January 8, 2016

Hernán is an AI engineer and software architect with 23 years of experience who turns unclear problems into AI systems that thrive in production. He builds LLM applications and the evaluation and observability layer around them, sets technical direction, and stays in the code. Most of his career has been on multi-tenant platforms in healthcare, insurance, and legal, where failure is expensive. He is completing an M.Sc. in artificial intelligence.

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Alex Baas

LLM Evaluator
UTC+01:00
Germany
Toptal Member Since April 15, 2021

Alex is a 15+ year engineer specializing in high-performance computing and Agentic AI. He builds "Action-Oriented AI" via autonomous workflows, Model Context Protocol (MCP), and optimized GraphRAG pipelines. Alex bridges complex LLM reasoning with production execution using LangGraph, CrewAI, and robust LLMOps. Holding an INSEAD MBA, he combines deep technical mastery of agentic orchestration with strategic business and project leadership.

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Ahmed Shaher

LLM Evaluator
UTC+02:00
Saudi Arabia
Toptal Member Since June 8, 2021

Ahmed is an applied AI leader with 10 years of experience building production AI systems at Microsoft scale and delivering enterprise AI platforms across the Gulf. He leads the OSOS AI Platform at Mozn, owning multi-GPU LLM inference, retrieval, and agentic orchestration deployed into air-gapped government environments. He works with clients from technical discovery through production rollout, and holds a master's in machine learning from Georgia Tech.

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Arzam Abid

LLM Evaluator
UTC+03:00
Saudi Arabia
Toptal Member Since August 14, 2026

Arzam is a senior AI engineer and AI architect with 6 years of experience designing and shipping production AI, NLP, and computer vision systems. She specializes in GenAI platforms, agentic AI, and integrating LLM-powered capabilities into enterprise systems via RAG, embeddings, and API-driven services. Arzam turns ambiguous requirements into reliable, production-grade AI that ships.

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Amit Kumar

LLM Evaluator
UTC+04:00
United Arab Emirates
Toptal Member Since November 17, 2025

Amit is an AI engineer with 12 years of hands-on experience building production-grade generative AI and machine learning solutions, specializing in transforming complex business problems into scalable, high-impact AI products across healthcare, telecom, and insurance. He has led cross-functional teams and architected end-to-end platforms for global clients. With a focus on measurable outcomes, Amit has consistently delivered meaningful improvements in efficiency, automation, and decision-making.

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Leonardo dos Santos Pinheiro

LLM Evaluator
UTC+10:00
Australia
Toptal Member Since July 4, 2019

Leonardo is a senior AI engineer with 10+ years of experience shipping production AI, including six years delivering engagements through Toptal. He specializes in LLM agents, retrieval-augmented generation (RAG), and LLM evaluation and LLMOps, working end-to-end from prototype to deployed services. At Microsoft, Leonardo built an LLM evaluation infrastructure. On recent Toptal engagements, he built RAG copilots and automated MLOps pipelines.

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Despite accelerating demand for coders, Toptal prides itself on almost Ivy League-level vetting.

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Testimonials

How to Hire LLM Evaluators Through Toptal

1

Talk to One of Our Client Advisors

A Toptal client advisor will work with you to understand your goals, technical needs, and team dynamics.
2

Work With Hand-selected Talent

Within days, we’ll introduce you to the right LLM evaluator for your project. Average time to match is under 24 hours.
3

The Right Fit, Guaranteed

Work with your new LLM evaluator for a trial period (pay only if satisfied), ensuring they’re the right fit before starting the engagement.

EXCEPTIONAL TALENT

How We Source the Top 3% of LLM Evaluators

Our name “Toptal” comes from Top Talent—meaning we constantly strive to find and work with the best from around the world. Our rigorous screening process identifies experts in their domains who have passion and drive.

Of the thousands of applications Toptal sees each month, typically fewer than 3% are accepted.

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FAQs

  • Typically, you can hire LLM evaluators with Toptal in about 48 hours. For larger teams of talent or full end-to-end project delivery, timelines may vary. Our talent matchers are highly skilled in the same fields they’re matching in—they’re not recruiters or HR reps. They’ll work with you to understand your goals, technical needs, and team dynamics, and match you with ideal candidates from our vetted global talent network.

    Once you select your LLM evaluator, you’ll have a no-risk trial period to ensure they’re the perfect fit. Our matching process has a 98% trial-to-hire rate, so you can rest assured that you’re getting the best fit every time.

  • To hire the right LLM evaluator, it’s important to evaluate a candidate’s experience, technical skills, and communication skills. You’ll also want to consider the fit with your particular industry, company, and project. Toptal’s rigorous screening process ensures that every member of our network has excellent experience and skills, and our team will match you with the perfect LLM evaluators for your project.

  • At Toptal, we thoroughly screen our LLM evaluators to ensure we only match you with the highest caliber of talent. Of the more than 200,000 people who apply to join the Toptal network each year, fewer than 3% make the cut.

    In addition to screening for industry-leading expertise, we also assess candidates’ language and interpersonal skills to ensure that you have a smooth working relationship.

    When you hire LLM evaluators with Toptal, you’ll always work with world-class, custom-matched LLM evaluators ready to help you achieve your goals.

  • You can hire LLM evaluators on an hourly, part-time, or full-time basis. Toptal can also manage the project end-to-end based on your specific requirements as part of our Consulting and Services offerings. Whether you hire a LLM evaluator for a full- or part-time position, you’ll have the control and flexibility to scale your team up or down as your needs evolve. Our LLM evaluators can fully integrate into your existing team for a seamless working experience.

  • We make sure that each engagement between you and your LLM evaluator begins with a trial period of up to two weeks. This means that you have time to confirm the engagement will be successful. If you’re completely satisfied with the results, we’ll bill you for the time and continue the engagement for as long as you’d like. If you’re not completely satisfied, you won’t be billed. From there, we can either part ways, or we can provide you with another LLM evaluator who may be a better fit and with whom we will begin a second, no-risk trial.

Toptal Lets You Hire Fast,
With Unparalleled Success

  • Trusted Talent Only

    Trusted Talent Only

    Our talent network is composed of thoroughly vetted professionals who ramp up quickly, function as essential team members, and deliver results.

  • Precise Matching

    Precise Matching

    Our experienced talent matchers specialize in identifying talent that fits your needs. They work to understand your exact requirements and hand-select the best professionals for your project.

  • Seamless Hiring

    Seamless Hiring

    We handle all aspects of billing, payments, and NDAs, streamlining the hiring process so you can focus on innovation, not overhead.

  • No-risk Trial Period

    No-risk Trial Period

    We want to be sure your engagement is a total success, so we offer a no-risk trial period. Work with your new hire for up to two weeks and pay only if you’re satisfied.

  • Effortless Scaling

    Effortless Scaling

    We help you scale your team up or down as needed, with quick and efficient hiring in under 48 hours.

  • Flexible Engagements

    Flexible Engagements

    Our flexible engagement models allow you to choose the engagement type that suits your needs and adjust it anytime: hourly, part time, or full time.

Top LLM Evaluators Are in High Demand.

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