Data Processing Associate

About Appen

Appen is a global AI leader with a network of over a million skilled contractors spanning 130 countries. We leverage cutting-edge AI‑driven data annotation techniques to enhance AI systems for major tech companies and various industries. Our core values include a commitment to ethical AI and fostering a diverse and inclusive environment.

Job Overview

Appen is seeking highly detail-oriented and tech-savvy individuals to join our data operations team as a Data Processing Associate. This role is critical in supporting secure and accurate data workflows for our AI development initiatives. If you value quality, consistency, and working in a structured environment, we’d love to have you on board.

Job Responsibilities

• Data Processing Operations
  • Process raw data to meet project specifications.
  • Ensure accuracy and consistency across processed files.
  • Execute tasks according to defined procedures.
  • Maintain logs and detailed records of work completed.
  • Verify outputs before submission.
  • Escalate processing issues or ambiguities.
  • Adhere to timelines and productivity benchmarks.
  • Support validation and quality assurance checks.
  • Follow up on revisions and reprocessing needs.
• Quality Assurance & Control
  • Conduct manual reviews to assess data quality.
  • Ensure compliance with internal accuracy standards.
  • Provide feedback on common errors or issues.
  • Suggest improvements to data guidelines.
  • Collaborate with QA team on rework requirements.
• Documentation & Reporting
  • Complete required project documentation accurately.
  • Update trackers and reports regularly.
  • Communicate status updates with coordinators.
  • Raise flags for potential project delays.
  • Participate in internal audits and spot checks.
  • Report discrepancies and suggest corrective action.
• Communication & Escalation
  • Attend team huddles and clarify task instructions.
  • Coordinate with project leads when guidance is needed.
• Tools & Systems Use
  • Operate within project-specific platforms securely.
  • Learn and adapt to new tools as required.
• Security & Confidentiality
  • Strictly follow all data security protocols and confidentiality agreements.
• Performance & Productivity
  • Meet productivity targets while maintaining quality standards.
• Training & Development
  • Participate in trainings and upskilling initiatives.

Required Skills & Qualifications

• Strong attention to detail and accuracy
• Ability to follow structured workflows and SOPs
• Familiarity with productivity tools (Excel, web platforms, etc.)
• Commitment to data privacy and confidentiality