Gneralist (Turkish) | $11/hr Remote

Crossing Hurdles

Türkiye

Description

Position: LLM AI Quality Analyst (Personalization) Turkish

Type: Contract

Compensation: $11.5/Hour

Location: Remote

Commitment: Full-time (8 hours/day) | Short-Term Contract (2 months)

Role Responsibilities

  • Evaluate and assess AI-generated responses with a focus on personalization quality and user relevance
  • Analyze nuanced and ambiguous outputs to ensure alignment with project standards and expectations
  • Review, annotate, and provide feedback on AI model behavior and response quality
  • Perform quality assurance tasks related to large language model outputs and personalization workflows
  • Collaborate with internal teams to improve AI training data and evaluation processes
  • Ensure accuracy, consistency, and compliance with project guidelines
  • Complete assigned tasks within required timelines and productivity expectations

Requirements

  • Turkish proficiency with the ability to read and write in Turkish at a high level of comprehension
  • Experience in data annotation, AI quality evaluation, content moderation, or a related field is strongly preferred
  • Strong analytical thinking and attention to detail
  • Ability to evaluate complex and ambiguous AI-generated responses
  • BS/BA degree or equivalent experience in a relevant field such as Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical discipline
  • Willingness to use a primary personal Google account and enable personal data sources for project evaluation purposes
  • Full-time availability in the local time zone with a minimum 4-hour overlap with PST time zone
  • Ability to follow instructions and work effectively in a fast-paced environment

Preferred Qualifications

  • Previous experience working on AI personalization or LLM evaluation projects
  • Familiarity with annotation platforms and quality review workflows
  • Strong written communication and critical thinking skills
  • Experience working in global operations or remote project environments

Application Process

  • Apply via Apply/Easy Apply and complete the required assessment
  • Shortlisted candidates will undergo an evaluation process
  • Selected candidates will be contacted by the team regarding next steps