AI Content & Knowledge Manager Intern
Overview
Back Market is offering an internship position focusing on artificial intelligence quality and evaluation. The organization operates a global marketplace for refurbished electronic devices with the mission of reducing environmental impact through sustainable technology. The intern will work in a hybrid format from Bordeaux, France, for a duration of six months starting in January 2027.
Who can apply
Applicants should be pursuing a Master 2 degree in data science, applied mathematics, statistics, or a related engineering discipline. Candidates need strong analytical and problem-solving abilities, comfort with data analysis and anomaly investigation, and a clear capability to structure and communicate findings in English. An interest in generative AI, machine learning, or large language model evaluation is necessary. Prior experience with LLM evaluation, prompt evaluation, conversational AI, or human-in-the-loop systems is considered an advantage, and knowledge of French is helpful though not required.
What you get
The position is a full-time commitment of 35 hours per week with a monthly compensation ranging from 1,100 to 1,200 euros, depending on the candidate's study level. The work environment is hybrid, allowing for two remote days per week, one remote work week per quarter, and three flexible days, alongside access to employee resource groups, mentorship programs, and hands-on career development.
Requirements
The role requires operating and improving quality monitors and scorecards that cover accuracy, policy compliance, connector use, escalation quality, tone, hallucinations, and unsupported claims. Responsibilities include reviewing flagged and unflagged conversations to detect false positives, false negatives, and recurring defects, as well as preparing weekly quality reviews summarizing key findings, risks, and root causes. Additional duties involve analyzing performance across different markets, languages, use cases, and rollout phases, monitoring handovers to human agents and customer satisfaction signals, tracking corrective actions, improving evaluation documentation and versioning, and sharing actionable feedback with product, engineering, content, and data teams.
How to apply
Candidates can submit applications through the company recruitment channels. The selection process consists of a skill fit interview and live case study with a team member lasting 45 minutes, a 30-minute video-call interview with a Talent Acquisition Specialist, and a 30-minute cultural fit interview with the manager. Applicants who require reasonable accommodations for the interview process may request them from the Talent Acquisition Team.
Key dates
The internship begins in January 2027 and lasts for 6 months.