US Finance and Tax Law Experts
Turing • Remote, Europe, USA • Posted 28 days ago
Education
Any
Type
Pay Rate
$55/task
Posted
28d ago
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About this Role
About the Role
Exciting opportunity to work directly with researchers at a top 8 Frontier Lab. In this role you will design challenging real-world problems in data science, ML, and coding to test and improve state of the art LLMs. You will be part of a peer group of top STEM & ML Phds as a part of the program. You will be responsible for ensuring that human data generation (on agentic workflows) meets the highest standards of accuracy, nuance, and utility for model training.
Responsibilities
•
Agentic Oversight
Design and implement frameworks to guide, monitor, and validate the data outputs generated by agentic taskers to ensure they align with gold-standard benchmarks. •
Methodology Development
Develop new methodologies to improve the performance of models through superior training data, including innovative approaches to data collection and insight generation. •
AI Integration
Utilize AI models and tools as integral components for evaluate synthesizing, and understanding complex datasets to drive data quality. •
Cross-Functional Partnership
Act as a critical technical partner, collaborating closely with Research, Engineering, and Product teams to define data excellence across the organization. •
Outcome Ownership
Solve ambiguous problems and influence stakeholders to ensure data intelligence outcomes directly support product and business objectives.
Required Qualifications
•
Advanced Academic Background
PhD degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related domain. •
Extensive Analytical Experience
10 years of experience using analytics to solve complex product or business problems, including querying databases and performing advanced statistical analysis. •
Technical Proficiency
Mastery of coding languages such as Python, R, or SQL for data manipulation, modeling, and automation.
Offer Details
•
Rate
~ $100-150/hour. •
Commitment
Minimum 30 hours per week (on week days). •
Employment Type
Contractor (no medical/paid leave). •
Duration
3 months (expected start date: next week). •
Locations
North America, Europe.
Requirements
- Must be eligible to work in one of: Remote, Europe, USA
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Mathematics
Compensation Analysis
Exciting opportunity to work directly with researchers at a top 8 Frontier Lab. In this role you will design challenging real-world problems in data science, ML, and coding to test and improve state of the art LLMs. You will be part of a peer group of top STEM & ML Phds as a part of the program. You will be responsible for ensuring that human data
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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.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.