Remote Business Analyst, AI Research & Data Insights

Turing Enterprises, Inc.; San Francisco (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Turing, based in San Francisco, is a leading research accelerator for frontier AI labs, collaborating with global enterprises to deploy advanced AI systems. We seek a candidate to analyze complex data, craft realistic training scenarios for LLMs, and provide clear explanations with evidence.

The role emphasizes independent work, strong English skills, and collaboration across teams to improve model accuracy and outcomes.

Qualifications

• Bachelor’s degree in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related field.
• Demonstrated professional writing experience in roles such as Business Analyst, Research Analyst, Copywriter, Journalist, Technical Writer, Editor, Translator, or similar.
• Strong English reading, writing, comprehension, research, and analytical skills.
• Experience with Excel and Google Workspace for documentation and data tasks.
• Independent work ability in a remote environment with reliable equipment.

Responsibilities

• Answered diverse analytical questions requiring research, reasoning, data interpretation, and problem-solving.
• Created realistic scenarios and challenging questions to support the training of LLM models.
• Analyzed trends, patterns, logical conditions, and numerical relationships to determine accurate outcomes.
• Articulated correct answers with clear explanations, reasoning, and supporting evidence.
• Evaluated potential model errors and provided constructive feedback with detailed annotations.

Skills

Analytical skills

Research skills

English proficiency

Problem solving

Education

Bachelor’s degree in Engineering, Literature, Journalism, Communications, Arts, Statistics, or related field

Tools

Excel

Google Workspace

Job description

Turing, based in San Francisco, is a leading research accelerator for frontier AI labs, collaborating with global enterprises to deploy advanced AI systems. We seek a candidate to analyze complex data, craft realistic training scenarios for LLMs, and provide clear explanations with evidence.

The role emphasizes independent work, strong English skills, and collaboration across teams to improve model accuracy and outcomes.