Research Assistant (Fully Remote)

Nuance Labs; Deutschland; Remote; EUR 21.000 - 32.000; Teilzeit

Benefits dieser Stelle

On-site training

Remote work after training

Zusammenfassung

Nuance Labs is seeking a part-time Research Assistant to support day-to-day study operations within the research team. The role includes on-site training for 1–2 weeks, after which the position transitions to fully remote work.

The candidate should be detail-oriented with strong interpersonal skills and a service-oriented mindset. Responsibilities include moderating sessions for data collection and UX studies, as well as annotating and QA-ing collected data.

Qualifikationen

• Comfortable interacting with a wide range of people; service industry experience is a strong plus.
• No technical or STEM background required.
• College degree is a nice-to-have, not a requirement.

Aufgaben

• Moderate sessions for data collection studies.
• Moderate sessions for UX research studies.
• Perform annotation and QA on collected data.

Kenntnisse

Interpersonal skills

Detail-oriented

Team coordination

Ausbildung

Bachelor's degree (preferred)

Jobbeschreibung

• We're looking for a part-time Research Assistant to support our research team with day-to-day study operations.
• We're looking for someone who is detail-oriented and has strong interpersonal skills.
• The role starts with 1-2 weeks of required on-site training, then transitions to fully remote.

What You'll Do:

• Moderate sessions for data collection studies.
• Moderate sessions for UX research studies.
• Perform annotation and QA on collected data.

What We're Looking For:

• Comfortable interacting with a wide range of people; service industry experience is a strong plus.
• No technical or STEM background required — this is not a technical role.
• College degree is a nice-to-have, not a requirement.

Nuance Labs

Nuance Labs builds photorealistic, real-time AI avatars with emotional intelligence, developing foundation models for full-duplex audiovisual systems. The team is small, composed of PhDs from top universities and industry experience from Apple, Meta, and Amazon AGI, focusing on unsolved problems in conversational AI.