Data Analyst

Data Analyst

Posted 3 days ago by LanceSoft UK

Negotiable
Undetermined
Undetermined
London Area, United Kingdom

Summary: The Data Analyst role involves collaborating with teams to develop and evaluate human rating protocols for model assessments. The position requires conducting in-house evaluations, identifying model gaps, and preparing training data for model improvements. Additionally, the analyst will work with PDO teams to scale validated evaluation protocols. Strong communication and problem-solving skills, along with a basic understanding of programming and data analysis, are essential for success in this role.

Key Responsibilities:

  • Working with the team to prototype human rating and semi-automatic model evaluation protocols.
  • Conduct small-to-medium scale in-house human rating on generated content for high stake and/or high complexity protocols.
  • Identify and summarize model gaps based on evaluations in collaboration with engineers.
  • Identify data needed to close model gaps and prepare training data for the next iteration of model training.
  • Work with PDO teams to scale up validated evaluation protocols, including coordination and auditing.

Key Skills:

  • Verbal and written communication skills, problem solving skills, and interpersonal skills.
  • Attention to details and an aptitude for experimental investigations.
  • Basic ability to work independently and manage one’s time.
  • Basic knowledge of Python, Unix, and SQL.
  • Basic knowledge of computer vision and generative models.

Salary (Rate): undetermined

City: London Area

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other

Detailed Description From Employer:

Job Responsibilities:

  • Working with the team to prototype human rating and semi-automatic model evaluation protocols.
  • For high stake and / or high complexity protocols, conduct small-to-medium scale in-house human rating on generated content.
  • Working with engineers to identify and summarize model gaps based on the above evaluation
  • Working with engineers to identify data needed to close those gaps and mine such data to prepare training data for the next iteration of model training
  • Working with PDO teams to scale up validated evaluation protocols, including coordination and auditing.

Skills:

  • Verbal and written communication skills, problem solving skills, and interpersonal skills.
  • Attention to details and an aptitude to experimental investigations
  • Basic ability to work independently and manage one’s time.
  • Basic knowledge of Python, Unix, and SQL.
  • Basic knowledge of computer vision and generative models