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Research Assistant; Remote

Remote / Online - Candidates ideally in
Poreta, Umbria, Italy
Listing for: Quik Hire Staffing
Full Time, Remote/Work from Home position
Listed on 2026-09-17
Job specializations:
  • IT/Tech
    Data Entry, Data Analyst, Data Scientist, Data Engineering
Job Description & How to Apply Below
Position: Research Assistant (Remote)
Location: Poreta

Role:
Research Assistant (Remote)

Location:

Remote (Work from Anywhere)

Role Overview :

Scopra se questa opportunità è adatta a lei leggendo tutte le informazioni riportate di seguito.
We are hiring for one of our clients, seeking an AI Facial Data Collection Full-Time to collect and process high-quality facial data for AI training purposes. The role involves capturing diverse facial images under varying lighting and angles to improve machine learning models for facial recognition and biometric systems.

Key Responsibilities:

Collect high-resolution facial images in compliance with ethical data collection standards.
Ensure diversity in data sets by capturing images from a broad demographic spectrum.
Validate image quality and metadata accuracy before submission.
Follow strict data privacy and consent protocols throughout the collection process.
Maintain detailed logs of all collected data for audit and quality assurance purposes.
Required Skills &

Qualifications:

Experience with facial data collection or similar biometric data capture.
Proficiency in using digital cameras, lighting equipment, and data capture tools.
Knowledge of ethical data sourcing and privacy regulations (e.g., GDPR, CCPA).
Ability to work independently in a remote environment with minimal supervision.
Attention to detail to ensure high-quality and accurate data submissions.
Basic understanding of AI/ML data requirements for training facial recognition models.
More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to advancements in AI-driven facial recognition technology. The position supports critical datasets for cutting-edge security and authentication applications.
Equal Opportunity

Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. xpavfwm
Apply Now!

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