Qureos Mentor

Turing

<div>
 
 
 About Turing:
 
 
 
 Based in San Francisco, California, Turing is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&amp;L
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are looking for experienced
 
 Machine Learning Engineers (MLE Bench)
 
 to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems.
 
 
 
 
 
 The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.
 
 
 
 
 
 
 What does day-to-day life look like?
 
 
 <ul>
 <li>
 Work with real-world ML codebases to support
 
 MLE Bench&ndash;style evaluation tasks
 
 .
 </li>
 <li>
 Build, run, and modify
 
 model training, evaluation, and inference pipelines
 
 .
 </li>
 <li>
 Prepare datasets, features, and metrics for ML benchmarking and validation.
 </li>
 <li>
 Debug, refactor, and improve
 
 production-like ML systems
 
 for correctness and performance.
 </li>
 <li>
 Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks.
 </li>
 <li>
 Write
 
 clean, reproducible, and well-documented Python code
 
 for ML workflows.
 </li>
 <li>
 Participate in
 
 code reviews
 
 to ensure high standards of engineering quality.
 </li>
 <li>
 Collaborate with researchers and engineers to design
 
 challenging, real-world ML engineering tasks
 
 for AI system evaluation.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Minimum
 
 3+ years
 
 of overall experience as a
 
 Machine Learning Engineer or Software Engineer (ML-focused)
 
 .
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 for machine learning and data workflows.
 </li>
 <li>
 Hands-on experience with
 
 model training, evaluation, and inference pipelines
 
 .
 </li>
 <li>
 Solid understanding of
 
 machine learning fundamentals
 
 (supervised/unsupervised learning, evaluation metrics, optimization).
 </li>
 <li>
 Experience working with
 
 ML frameworks
 
 (e.g., PyTorch, TensorFlow, JAX, or similar).
 </li>
 <li>
 Ability to understand, navigate, and modify
 
 complex, real-world ML codebases
 
 .
 </li>
 <li>
 Experience writing
 
 readable, reusable, and maintainable production-quality code
 
 .
 </li>
 <li>
 Strong problem-solving and debugging skills.
 </li>
 <li>
 Excellent spoken and written
 
 English communication skills
 
 .
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing With Turing:
 
 
 <ul>
 <li>
 Work in a fully remote environment.
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects with leading LLM companies.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 
 Commitments Required:
 
 At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
 </li>
 <li>
 
 Engagement Type:
 
 Contractor assignment (no medical/paid leave)
 </li>
 <li>
 
 Duration of Contract:
 
 3 months (adjustable based on engagement)
 </li>
 </ul>
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Remote ML Engineer

<div>
 
 
 About Turing
 
 
 
 Based in San Francisco, California, Turing is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&amp;L.
 
 
 
 
 
 
 Role Overview
 
 
 
 Turing is looking for Venture Capital professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in startup evaluation, funding rounds, cap table management, and early-stage market analysis to evaluate and train AI systems. If you enjoy solving complex problems in venture capital and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.
 
 
 
 
 
 
 What Does Day-to-Day Look Like
 
 
 <ul>
 <li>
 Evaluate LLM models on venture capital topics such as startup valuation, term sheet analysis, cap table modeling, and market sizing.
 </li>
 <li>
 Create rubrics to assess model capabilities on tasks like due diligence for early-stage companies, funding round structuring, and portfolio construction for VC funds.
 </li>
 <li>
 Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 2+ years of experience in Venture Capital (e.g., seed/Series A&ndash;C investing, VC fund operations, or startup advisory).
 </li>
 <li>
 Strong grasp of startup valuation methods, term sheet negotiation, cap table mechanics, and venture fund economics.
 </li>
 <li>
 Excellent English written communication.
 </li>
 </ul>
 
 
 
 
 
 Bonuses (Not at All Necessary)
 
 
 <ul>
 <li>
 CFA (Level I/II/III), MBA in Finance, or operational experience at a high-growth startup.
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing with Turing
 
 
 <ul>
 <li>
 Work on the cutting edge of AI and finance.
 </li>
 <li>
 Fully remote and flexible work environment.
 </li>
 <li>
 Competitive hourly compensation of ~$100+/hour depending on experience.
 </li>
 </ul>
 
 
 
 
 
 Offer Details
 
 
 <ul>
 <li>
 Commitment: Flexible, 10&ndash;30 hrs/week.
 </li>
 <li>
 Duration: ~1 month, with the possibility of extension based on performance and project needs.
 </li>
 </ul>
 
 
 
 
 
 After applying, you&rsquo;ll receive a login link by email. Please complete your profile promptly so we can proceed with your application.
 
 
 
 
 
 
 
 We&rsquo;re actively hiring for this role. If you know exceptional talent, please refer them at
 
 turing.com/referrals
 
 and earn money for successful referrals.
 
 
</div>

Remote Venture Capital Analyst ($100/hr)

Join Turing and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Turing

About Company

Remote ML Engineer

Remote Venture Capital Analyst ($100/hr)