Turing.com review by ex-Facebook engineer

"The culture and experience at Turing is at par with Silicon Valley companies"

- Parv, ML Engineer from India

Parv sharing his Turing.com review

Parv, a former Facebook engineer, shared his Turing.com review in an exclusive interview with Turing Newsdesk and said that the company’s value proposition gave him access to the world’s best career opportunities. He also added that his role at Turing gave him an opportunity to interact with a diverse group of colleagues from around the world.

Life before Turing jobs

Parv is an ML engineer based out of Mumbai, India. Having studied computer science at the Georgia Institute of Technology, Parv has over eight years of experience in building platforms and production-ready machine learning and deep learning systems.

Parv’s exceptional knowledge and understanding of his subject helped him start his career with a bang. “I was with Facebook at their Silicon Valley and New York offices. I helped build a generic machine learning platform that every team uses across the company, and also worked on increasing users’ engagement with Ads,” he recalls.

“Then I moved to Instagram and created a system that would deliver a better user experience on the Hashtag pages by increasing the quality and relevancy of the images shown. I progressed rapidly from an engineer to a Tech Lead in the 5 years at Facebook.’’

After spending many years away, Parv decided to return home and spend more quality time with his family and friends. But having lived a fast life, he didn’t want to put the brakes on his career. “ I wanted to make sure that my rapid career growth continued at the same pace, despite moving out of Silicon Valley,” he says.

How did he learn about Turing US software jobs?

Being always on the lookout for relevant opportunities, Parv came across a Turing job ad on Facebook and wasted no time applying.

“Turing’s value proposition of giving me access to the world’s best career opportunities, no matter where I lived, was very compelling to me. In a few hours, I completed Turing’s tests and interviews related to Machine Learning and Data Science. Within two weeks, they offered me the position of Lead ML Engineer. I accepted,” he shares.

How has his journey with Turing.com been so far?

Since joining Turing, Parv has realised that you don't need to be away from your family to work with international industry leaders.

“Every day, I get to interact with a diverse group of colleagues from around the world and work together on products that are defining the future of work. It’s very exciting to build novel Machine Learning technologies to help solve the trillion-dollar problem of matching talent with opportunity at a global scale.”

What’s his take on Turing developers?

Being a Turing developer means you work with some of the best professionals in the world. “Working on challenging problems and collaborating with very talented colleagues from all over the world has contributed significantly to my continuous growth,’’ he mentions.

What's the final verdict?

“Having lived and worked in Silicon Valley, I can state firsthand that the culture and experience created at Turing is at par with the world’s best companies,” he concludes.

Interested in working with the best US companies while living anywhere in the world? Click here to go #Boundaryless with Turing.

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LLM Trainer - Computer Usage Data Collection

About Turing:

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.


Role Overview

We are developing a computer usage dataset to train intelligent systems that understand how users interact with software applications. As an LLM Trainer (Computer Usage Data Collection), you will record your screen while performing detailed, multi-step computer-based tasks — such as configuring applications, exploring tools, or completing productivity workflows.
Your recordings will be annotated and used to help train models that interpret and predict user workflows, enhancing the realism and usability of AI assistants.


What Does Day-to-Day Look Like

  • Record your screen activity while completing assigned computer-based tasks.
  • Carefully follow step-by-step documentation to complete each task accurately.
  • Ensure all recordings are high-quality, complete, and free from interruptions.
  • Label or verify events (clicks, keypresses, actions) as instructed.
  • Maintain accuracy and consistency in file naming and documentation.
  • Adhere to strict privacy and data-handling protocols.

Types of Tasks

You will perform tasks across diverse software domains, such as:

  • Education & Productivity: Using learning or organizational tools.
  • Software & Development Environments: Setting up or configuring tools (no coding required).
  • Data & Analytics: Working with dashboards or monitoring interfaces.
  • Creativity Tools: Using design or visualization applications.
  • General Workflows: Everyday tasks like browsing, file management, or configuration settings.
Note: The specific tools and environments will vary widely — adaptability and willingness to learn new interfaces are key.

Requirements
  • Computer with Mac or Linux operating system and 8GB RAM or higher.
  • 2+ years of experience with any programming language preferably Python
  • Strong ability to follow detailed written documentation and execute steps precisely.
  • Comfort with navigating various software applications and interfaces.
  • Basic technical literacy — ability to install or configure software using provided guides.
  • Basic coding knowledge and familiarity with environments such as Visual Studio or PyCharm preferred.
  • Excellent attention to detail and consistency in recording and labeling.
  • Reliable computer and stable internet connection.
  • Commitment to confidentiality and secure data handling.

Perks of Freelancing With Turing:

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

  • Engagement  type  : Contractor assignment (no medical/paid leave)
  • Duration of contract : 1 month; [expected start date is next week]

Evaluation Process :

  • 1 round of take home assessment
Telecommunications
10K+ employees
Python
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Backend Engineer (Golang / Python / Kafka)
About the Client

Our mission is to bring community and belonging to everyone in the world. We are a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet.

Role
Campaign Management team's goal is to uplevel and expand the core functionality related to creating and editing ad entities seen across the platform. It is important that our advertisers are able to efficiently and  effectively create, adjust, report, and measure their ads in the most  intuitive way possible. Our team not only builds new products on the Ads platform but we also  support other teams building their products on top of our platform. We  expect our engineers to take ownership and have pride in the work and  support we provide.


Key Responsibilities
  • Design and maintain scalable backend services that power the entire advertising stack
  • Own critical systems including Python, Go, and Kafka infrastructure
  • Own the developer tooling and testing framework that enables team velocity
  • Architect APIs and data models that other teams across Reddit depend on
  • Ensure 99.9%+ uptime for services handling high-volume campaign operations
  • Build monitoring, alerting, and operational tooling for mission-critical advertising infrastructure


Qualifications for this role:

  • 5+ years building scalable backend systems in production environments
  • Strong experience with Python and/or Go
  • You love diving deep into problems, understanding them from all  angles, talking to stakeholders, and designing elegant solutions.
  • You get excited by the prospect of deep-diving into performance  issues, finding the root cause, and implementing solutions that have  impact across the application.
  • Deep understanding of distributed systems, databases, and API design
  • Experience with cloud platforms (AWS/GCP) and infrastructure as code

Platform Mindset:

  • Track record of building systems that other engineering teams depend on
  • Experience with service-oriented architecture and microservices patterns
  • Understanding of operational concerns: monitoring, logging, alerting, and debugging
  • Passion for code quality, testing frameworks, and developer tooling
  • Background in ad tech or developer experience (preferred)


Offer Details


  • Full-time contractor or full-time employment, depending on the country
  • Remote only, full-time dedication (40 hours/week)
  • Required 4-6 hours overlap with PST (Pacific Standard Time)
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Media & Internet
251-10K employees
GoApache KafkaPython
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