Research Quality Specialist - Computational Physics
Turing • USA • Posted 26 days ago
Education
Any
Type
Pay Rate
$50/task
Posted
26d ago
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As an Agentic Evaluation Specialist, you will work directly with researchers at a top 8 Frontier large language model company to improve LLM Agent performance specific for Agentic Storage Management.
Responsibilities:
Data migration workflows across cloud platforms (AWS, GCP, Azure) Data migration strategies, considering trade-offs (online vs offline, performance, scalability) Creation & upkeep of data pipelines and ETL/ELT workflows in distributed environments Integrate and evaluate LLM/Generative AI components within workflows Perform system testing and validation: Execute test scenarios Identify edge cases and failure points Debug and analyze issues across systems Ensure data integrity, consistency, and performance across systems Document findings, insights, and recommendations clearly for stakeholders Collaborate with cross-functional teams across engineering, data, and product
Required Qualifications:
5+ years of relevant experience with cloud platforms (GCP, AWS, or Azure) and data/storage systems Strong understanding of data migration processes and associated trade-offs Experience with data pipelines, ETL/ELT workflows, or distributed systems Hands-on exposure to LLMs / Generative AI (prompting, evaluation, or integration) Experience in system testing, validation, or QA Strong debugging and problem-solving skills Excellent written communication skills
Nice to have:
Background in storage administration, SRE, or cloud infrastructure operations Experience with MLOps, model evaluation frameworks, or AI testing workflows Familiarity with Google Cloud Storage (GCS) or similar platforms Experience working in Agile environments with cross-functional teams
Perks of Freelancing With Turing:
Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs.
Offer Details:
Commitments Required : 40 hours per week with overlap of 4 hours with PST Engagement type : Contractor (no medical/paid leave) Duration of contract : 9 months; [expected start date is next week] Location: USA
Requirements
- Must be eligible to work in USA
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in STEM
Compensation Analysis
Join the workforce powering the AI revolution. With a competitive rate of $50/hr and remote flexibility, this role allows you to balance professional growth with personal freedom. No previous AI experience is usually required—just your domain expertise.
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Frequently Asked Questions
Do I need to be a software engineer?
Not anymore. Turing built its reputation matching senior engineers with Silicon Valley companies, but they have heavily pivoted into AGI infrastructure. They now hire non-engineering domain experts, technical writers, and researchers for post-training data annotation and RLHF. A strong analytical background and excellent English are required, but you do not need to code.
How does matching work?
Turing calls it the 'Intelligent Talent Cloud.' You build a profile and go through deep vetting — automated tests, an AI-powered interview, and practical skill assessments. Once vetted, Turing's algorithm automatically surfaces you to partner companies (Fortune 500s and top AI labs). You don't browse job boards or bid on work — matches come to you.
How does payment work?
You are hired as an independent contractor, responsible for your own local taxes. Turing collects payment from the client and pays you monthly in USD via Deel, Payoneer, or direct bank/wire transfer. Monthly pay is standard for long-term contract roles — if you need weekly cash flow, this structure requires adjustment.
Is this just labeling data?
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.
Do I need a PhD?
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.
Is the work continuous?
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.