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Turing Review

Turing is an AI-powered deep jobs platform and AGI infrastructure company that connects companies with remote tech professionals and assists AI labs in model enhancement and agentic system deployment.

shipped Sep 3, 2026paid
Domain rating74Monthly visits42K/mo
Turing — product screenshot

Why it matters

1Connects companies with over 3 million vetted developers from 100 countries.
2Achieved a 70% increase in acceptance rates with Google Cloud's Gemini Code Assist by April 2024.
3Reported an annual revenue run rate of nearly $300M in 2025.
4Secured $111 million in Series E funding by March 2025.

Specs

API Available

Yes, public API

overview

What is Turing?

Turing is an AI-powered deep jobs platform and AGI infrastructure company that enables frontier AI labs to enhance models and enterprises to deploy agentic systems. It also connects companies, primarily in the U.S. and Silicon Valley, with a global pool of remote software engineers, data scientists, and other tech professionals.

features

Key Features of Turing

Turing provides a dual-focused platform, offering both AI development infrastructure and a talent cloud for remote hiring. Its features are designed to streamline AI model enhancement and the deployment of agentic systems, alongside an AI-powered process for matching companies with pre-vetted remote software developers.

  • High-quality datasets for AI model training.
  • Reinforcement learning environments for advanced AI development.
  • Benchmarks for evaluating AI model performance.
  • AI-powered matching for pre-vetted remote software developers.
  • Compliance and payroll handling for hired engineers.
  • Forward-deployed engineers (FDEs) for enterprise solutions.
  • AI control plane for managing enterprise agentic systems.
  • Off-The-Shelf Datasets for rapid AI project initiation.
  • Expert network for specialized AI and engineering talent.

use cases

Who Should Use Turing?

Turing serves two primary user groups: frontier AI labs and enterprises seeking to deploy agentic systems, and companies looking to hire remote software development talent. Its services are tailored to accelerate AI development and streamline the recruitment process for specialized tech roles.

  • Frontier AI Labs: For enhancing models, training and improving LLMs, and accessing high-quality datasets and reinforcement learning environments.
  • Enterprises: For deploying, managing, and scaling AI agents in production across sectors like finance, medical, legal, physics, chemistry, math, and biology.
  • Companies (U.S. and Silicon Valley focus): For hiring pre-vetted, remote software developers, data scientists, and tech leads for full-time, long-term positions, with compliance and payroll managed by Turing.

how to use

How to Use Turing

Companies can engage with Turing by defining their talent needs or AI development requirements, leveraging Turing's AI-powered platform for matching or infrastructure provision. The process involves several stages from initial request to deployment or hiring.

  • 1For Talent Acquisition: Submit job requirements for remote software engineers, data scientists, or tech leads.
  • 2For Talent Acquisition: Utilize Turing's AI-driven engine for resume processing, coding tests, and multi-stage vetting to identify candidates.
  • 3For Talent Acquisition: Review matched candidates and conduct interviews with pre-vetted professionals.
  • 4For Talent Acquisition: Onboard selected engineers, with Turing handling compliance and payroll.
  • 5For AI Development: Engage Turing for access to high-quality datasets, reinforcement learning environments, and expert talent for model training.
  • 6For AI Deployment: Collaborate with Turing to build, deploy, manage, and scale AI agents in production for enterprise applications.

pricing

Turing Pricing & Plans

Turing operates on a paid model, with specific pricing details varying based on the service. For talent acquisition, companies typically pay hourly rates for developers, which can range from $100 to $200 per hour for mid-level and senior professionals. AI and ML specialists may incur higher costs. Turing offers a two-week free trial for employers to evaluate matched talent.

  • Developer Hourly Rates: $100 - $200 per hour for mid-level and senior developers.
  • AI/ML Specialist Rates: Potentially higher than standard developer rates.
  • Employer Trial: Two-week free trial for evaluating hired talent.

Pros

  • +Access to a global pool of over 3 million pre-vetted software developers from 100 countries.
  • +AI-powered matching process for efficient and gender/color-blind candidate selection.
  • +Comprehensive handling of compliance and payroll for hired remote engineers.
  • +Specialized infrastructure and expertise for enhancing AI models and deploying agentic systems for frontier AI labs and enterprises.
  • +Offers a two-week free trial for employers to evaluate matched talent.
  • +Reported significant growth, including a 300% increase in developers and a nearly $300M annual revenue run rate by 2025.

Cons

  • Hourly rates for developers can be expensive, ranging from $100 to $200 per hour.
  • Some user reviews indicate potential mismatches due to a lack of 'human touch' in vetting soft skills.
  • Developers have reported a lack of transparency regarding the final price charged to clients.
  • Concerns about job security for some freelance developers due to the temporary nature of certain roles.
  • Some Trustpilot reviews mention issues with customer service and lengthy hiring processes.

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Turing vs Competitors

Turing differentiates itself by combining an AI-powered talent cloud with AGI infrastructure services, offering both human capital and technical resources for AI advancement and deployment. This integrated approach contrasts with competitors that typically specialize in one area.

1

Provides a vast hub for pre-trained models, datasets, and community-driven ML development, making it easy to share and reuse AI components.

While Turing offers curated datasets and environments for AI development, Hugging Face provides a broader, community-driven ecosystem of models, datasets, and tools, requiring more self-management of the development environment. It focuses less on bespoke reinforcement learning environments or managed talent acquisition.

2
Farama Gymnasium

Offers a standardized API and a collection of environments for developing and comparing reinforcement learning algorithms.

Turing provides reinforcement learning environments as part of its AI development services. Gymnasium offers the open-source framework and a wide array of environments for RL research, but users are responsible for setting up and managing their own infrastructure and data pipelines, unlike Turing's more integrated approach.

3

Offers comprehensive experiment tracking, model versioning, and dataset versioning for machine learning projects, aiding in model enhancement and reproducibility.

Turing focuses on providing high-quality datasets and environments for AI development. Weights & Biases, conversely, specializes in the MLOps lifecycle, helping track, visualize, and manage experiments and models, rather than directly supplying datasets or RL environments as a service.

4
Kaggle

Provides a large repository of public datasets, code notebooks, and hosts machine learning competitions that serve as benchmarks for AI models.

Turing offers high-quality datasets and benchmarks for AI development. Kaggle provides a community-driven platform for accessing diverse datasets and participating in competitions that act as benchmarks, but it doesn't offer the same level of bespoke dataset generation or managed reinforcement learning environments as Turing.

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