Delivery Data Scientist

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.

Overview: We are seeking a highly motivated and detail-oriented Data Scientist to join our team. The successful candidate will play a critical role in the development and training of large language models (LLMs) focused on code understanding and multimodal data processing. This position is ideal for someone with a strong analytical thinking, critical reasoning and strong skills with an interest in advancing AI technologies.

Key Responsibilities:

• Data Annotation:
  • Accurately label and annotate data related to coding tasks, such as identifying functions, variables, syntax, and code structure.
  • Annotate multimodal datasets that include text, images, video, and other data types, ensuring that annotations are precise and consistent.
  • Collaborate with AI researchers and engineers to refine annotation guidelines and develop new annotation strategies.
• Quality Assurance:
  • Perform quality checks on annotated data to ensure high standards are met.
  • Provide feedback on annotation tools and processes to improve efficiency and accuracy.
• Tooling and Process Improvement:
  • Assist in the development and testing of internal tools for data annotation.
  • Suggest and implement improvements to the annotation process to streamline workflows and enhance productivity.
• Collaboration:
  • Work closely with cross-functional teams, including AI researchers, software engineers, and product managers, to understand project requirements and deliver high-quality annotated datasets.
  • Participate in regular meetings to discuss progress, challenges, and areas for improvement.

Required Qualifications:

• Technical Skills:
  • Proficiency in one or more programming languages (e.g., Python, JavaScript) and a solid understanding of coding concepts.
  • Experience with data annotation tools and platforms.
  • Familiarity with machine learning concepts, especially in relation to training large language models.
• Analytical Skills:
  • Strong attention to detail and the ability to understand complex data structures.
  • Ability to identify patterns and inconsistencies in data to ensure high-quality annotations.
• Communication Skills:
  • Excellent written and verbal communication skills, with the ability to clearly document processes and provide feedback.
  • Collaborative mindset with a willingness to learn and adapt to new challenges.

Preferred Qualifications:

• 0-2 years of experience
• Engineering or Bachelor’s degree in Science or equivalent
• Tier 1/2 colleges and universities
• Distinction or first class in Bachelor’s degree

Location: Remote

Type: Full-time

Advantages of joining Turing:

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
• Competitive compensation
• Flexible working hours
• Full-time remote opportunity

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.