CUA Datapack - Python Contractor at Turing

CUA Datapack – Python Contractor | Full-Time Remote | Worldwide

Join a NASDAQ-listed software industry leader as a CUA Datapack Contractor. In this role, you will record screen activity while completing a variety of computer-based tasks, helping to build high-quality datasets that power next-generation automation and AI systems. This is a fully remote, contractor position requiring 40 hours per week with a 3-hour overlap with Central Standard Time (CST).

Key Responsibilities

• Record screen activity while completing assigned computer-based tasks with precision and consistency.
• Follow provided step-by-step instructions and documentation to execute tasks accurately.
• Ensure all recordings are complete, high-quality, and free from interruptions.
• Label or verify events such as clicks, keystrokes, and on-screen actions when required.
• Maintain accuracy and consistency in documentation and file naming conventions.
• Adhere to strict data privacy and confidentiality standards at all times.
• Work across multiple domains including:
  • Data & Analytics: Dashboards and monitoring interfaces.
  • Software & Development Environments: Tool setup and configuration (no coding required).
  • Education & Productivity: Learning and organizational platforms.
  • General Use Cases: Browsing, document management, and settings configuration.

Requirements

• Working knowledge of SQL, Python for data manipulation, Excel, and basic data visualization using Tableau and Power BI.
• Bachelor's degree in Engineering, Statistics, Mathematics, Economics, or Computer Science.
• Computer with 16GB RAM or above and a stable internet connection.
• Strong ability to follow written documentation and execute tasks with precision.
• Comfort navigating a wide range of computer applications and software environments.
• Basic technical literacy — able to install or configure software using provided instructions.
• Basic coding knowledge; familiarity with tools like Visual Studio or PyCharm is preferred.
• High attention to detail when recording or annotating actions.
• Ability to maintain confidentiality and follow data-handling protocols.

Preferred Skills

• Prior experience in data annotation, QA testing, or user research.
• Familiarity with productivity, design, or technical software environments.
• Strong time management and self-organization skills in a remote work setting.

Offer Details

• Contractor position — no medical benefits or paid leave.
• Full-time commitment: 40 hours per week.
• Required: Minimum 3-hour daily overlap with Central Standard Time (CST).