Transcription Specialist Hebrew Language
Turing • Remote, USA, Israel • Posted 28 days ago
Education
Any
Type
Pay Rate
$47/task
Posted
28d ago
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About this Role
About Turing
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 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&L.
Role overview
We are looking for finance domain experts (5+ years experience) to create real-world, profession-based prompts and tasks. The role involves creating high quality prompts and documents to evaluate model responses on day-to-day work in your domain.
Key Responsibilities
• Create realistic, first-person prompts based on actual job workflows • Design tasks that reflect real-world professional scenarios • Select and use relevant public data/documents as input files • Ensure prompts are clear, specific, and aligned to the occupation • Review tasks for accuracy, completeness, and real-world relevance
Requirements
• Degree in Finance, Economics, Commerce, or related field • Strong understanding of real-world workflows in your profession • Ability to convert work scenarios into structured, high-quality prompts
Who can Apply
:We are open to many experts within finance (including but not limited to): Financial Managers, Financial & Investment Analysts, Personal Financial Advisors, Banking / Insurance / Fintech professionals, Finance / Accounts / Operations professionals, Professionals with hands-on experience in financial workflows.
Terms of Contract
: • Opportunity is for a project that is ~2 week duration with potential extension
Requirements
- • Degree in Finance, Economics, Commerce, or related field
- • Strong understanding of real-world workflows in your profession
- • Ability to convert work scenarios into structured, high-quality prompts
- Must be eligible to work in one of: Remote, USA
Eligible Languages
Fluent proficiency in Hebrew
Compensation Analysis
Based in San Francisco, California, Turing is the world’s leading
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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 traditional consulting?
Not exactly. You act as a "Teacher" for advanced AI. Instead of client deliverables, you are given complex scenarios to evaluate. You grade the AI's logic, correct its hallucinations, and provide expert-level reasoning. Your job is to train the model to think like you do.
Why is the pay so high?
This role requires deep, verified expertise. General knowledge isn't enough; the model is specifically being trained on "edge cases"—the rare, difficult, or highly technical nuances that only a senior professional would know.
What is the workload like?
This is cognitive, deep work. Unlike simple data labeling, you might spend 45-60 minutes on a single task, researching citations or verifying complex calculations. Quality is prioritized over speed.