Technical Lead - LLM training data

About Turing

Based in Palo Alto, California, Turing is the world’s first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built many of the most iconic Silicon Valley companies. 

Founded in 2018, the company has experienced tremendous growth with three million global developers on its Talent Cloud and 900+ clients. Turing has received numerous awards, including Forbes’s 2022 “One of America’s Best Startup Employers,” being ranked #1 in The Information’s 2021 Annual List of most promising B2B Companies and Fast Company’s “Annual List of the World’s Most Innovative Companies.”

The company’s leadership team comprises both AI technologists from leading organizations including Meta, Google, Microsoft, Apple, Amazon, Twitter, Stanford, Caltech, MIT as well as tech consulting veterans from Accenture, Cognizant, Capgemini, McKinsey, Bain, and more.

Job Overview:
We are seeking a highly skilled research and engineering lead  to:

• Collaboration to understand data needs: Work with the researchers in leading LLM companies to understand the training data needs for the next generation of LLMs, in the domain of coding skills, or advanced Maths, or Robotics;
• Implementation for data: Work with the internal R&D team and engineers to design the process and system that can  generate the needed training data in the most effective ways;
• Data Quality and Throughput: Work with internal operational leaders to design a scalable process that can leverage the knowledge of hundreds of knowledge workers assisted with existing LLM capability to build high quality data efficiently

Qualifications:

• Technical Expertise:
• You need to have a very strong technical foundation
• Strong background in coding, software development, or related fields.
• Proficiency across multiple programming languages with deep expertise across at least one of the following: Python, Java Script, Java, React
• Experience with coding languages and environments, including the ability to review, correct, and explain code effectively.
• Understanding of data annotation workflows, especially for coding tasks, is a plus.
• Fast-iteration and fast-learning attitude: 
• You need to iterate fast with the leading LLM researchers in this cutting-edge space
• Comfortable to work in a highly iterative pattern with the researchers and engineers – there won’t be a quarterly plan because we are exploring the unknown.  
• Learn quickly into the depth of LLM training domain – even though you may have taken classes or ran projects of machine learning, the LLM training domain has been rapdily changing. Every month, new sub-domain appears and new depth appears
• Learn quickly into a new domain that you don’t know – it is fascinating how much software engineering knowledge can help advance AGI: coding, reasoning, planning, maths, physics, chemistry… you need to be able to learn a new domain quickly (with the help of chatGPT)!
• Communication and collaboration
• Brainstorm with researchers on what is the best dataset to develop a certain capability for the next generation of LLMs
• Translate the research ideas into the fastest step-by-step way to iterate
• Understand and verify the operational plan 
• Follow up with researchers on how to use the data in LLM trainings and how to measure the effectiveness of the dataset 
• Ownership & Urgency:
• A high sense of ownership and responsibility for the team’s output and quality.
• Strong problem-solving skills, with the ability to think critically and act quickly when needed.
• Interpersonal Skills:
• Exceptional interpersonal and communication skills, with the ability to work well with diverse teams and clients.
• Ability to motivate and inspire a team, fostering a positive and productive work environment.

Advantages of joining Turing: