Remote Pro Gamer — AI Data & Gameplay QA Specialist

RemoteJobsOne; Brussel; À distance; EUR 12 000 - 17 000; Temps partiel

Résumé du poste

RemoteJobsOne is seeking a Professional Gamer for a fully remote contract-based role based in Belgium. You will play curated PC titles, capture gameplay telemetry, and provide high-quality input to train AI systems. Daily sessions of 2–3 hours are expected with clear, timely feedback to project managers.

No prior AI experience is required; domain knowledge in gaming and strong communication are valued to shape model learning and performance through precise data capture.

Qualifications

• Demonstrated expertise in PC gaming and competitive play.
• Experience with gameplay recording tools or telemetry capture setups.
• Background in QA testing or detailed annotation within gaming.
• Excellent written and verbal communication with proactive updates.
• Familiarity with multiple PC titles and game mechanics.

Responsabilités

• Play selected PC games and record per-frame gameplay video with telemetry.
• Submit detailed engine-level signals and in-game event data as per guidelines.
• Annotate gameplay scenarios with accuracy and context.
• Perform QA to identify and document issues, bugs, or data anomalies.
• Maintain daily gaming sessions of 2-3 hours and timely data submission.
• Communicate progress and feedback to project managers and stakeholders.
• Adhere to data security, privacy, and compliance protocols.

Connaissances

Competitive gaming

Game mechanics knowledge

Strong communication

Remote work self-motivated

Outils

Gameplay recording tools

Telemetry capture

Description du poste

RemoteJobsOne is seeking a Professional Gamer for a fully remote contract-based role based in Belgium. You will play curated PC titles, capture gameplay telemetry, and provide high-quality input to train AI systems. Daily sessions of 2–3 hours are expected with clear, timely feedback to project managers.

No prior AI experience is required; domain knowledge in gaming and strong communication are valued to shape model learning and performance through precise data capture.