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Data Science

Transcription Specialist (Danish Language)

🇩🇰

Turing Remote, India, USA Posted 27 days ago

Education

Any

Type

Pay Rate

$60/task

Posted

27d ago

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About this Role

About the Role

Exciting opportunity to work directly with researchers at a top 8 Frontier Lab. The core objective of this role is to enhance the reasoning and problem-solving capabilities of a target frontier model in STEM topics by designing, validating, and analyzing challenging benchmark tasks.

Key Responsibilities

• Task Design and Development: Design challenging, real-world data science problems that serve as the foundation for Colab Bench tasks. • 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.

Qualifications and Recruitment

Expertise Focus

Applicants must have strong expertise in data science, ML, finance, and coding, with a deep background in frontier STEM. •

Target Candidates

We are actively recruiting PhD students from top schools in the US and highly-skilled GitHub contributors. (Will consider a small cohort in India as well)

Offer Details

Rate

~ $30/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

India.

Requirements

  • Must be eligible to work in one of: Remote, India, USA
  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection
  • Bachelor's degree or equivalent professional experience
  • Demonstrated expertise in Data Science

Eligible Languages

Fluent proficiency in Danish

Danish

Compensation Analysis

Exciting opportunity to work directly with researchers at a top 8 Frontier Lab. The core objective of this role is to enhance the reasoning and problem-solving capabilities of a target frontier model in STEM topics by designing, validating, and analyzing challenging benchmark tasks.

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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.