PL/SQL developer
Turing • Remote • Posted 30 days ago
Education
Any
Type
Pay Rate
$40/task
Posted
30d ago
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About this Role
About Us
Based in San Francisco, California, Turing is the world’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 software engineering, logical 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&L.
Project Overview
We are seeking high-caliber researchers and technical experts. The core objective of this role is to enhance the reasoning and problem-solving capabilities of a target frontier model by designing, validating, and analyzing challenging benchmark tasks. What the role entails: • Task Design and Development: Design challenging, real-world problems that serve as the foundation for a model. Problems should be constructed to target specific core capability loss failures identified in a leading model. • Content Generation: Integrate the problems into an Agentic development environment, preparing all necessary components using Python, which include: • Detailed Instructions and an overview of the required task. • A Golden solution that follows the instructions. • The necessary Environment, including datasets, Python libraries, and metadata. • A Test notebook containing unit tests that solutions must pass. • Evaluation and Analysis: Evaluate the cross model’s performance on the tasks. • Headroom Identification: Identify tasks where target model fails to pass all tests, specifically classifying the failure as a logical reasoning failure. • Loss Extraction: Analyze the agent’s steps (Agent Trajectory) to observe and extract core capability loss patterns from the model.
Required Skills
• Highly-skilled GitHub contributors. • Applicants must have strong expertise in either data science, ML, coding, or a deep quantitative background in frontier STEM. • Able to engage reliably for 30+ hrs per week (on weekdays).
Evaluation Process
• The application process takes ~15 minutes. • Completion of an AI video interview is required.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
Compensation Analysis
Based in San Francisco, California, Turing is the world’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 speci
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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.