Biometrics - Data Annotator/Reviewer

About Keyo:

Keyo is pioneering the next generation of identity infrastructure—a network that enables seamless, secure, and privacy-first authentication for individuals worldwide. By combining privacy-centric palm recognition technology with a decentralized approach to identity, Keyo empowers users to prove who they are—anywhere, instantly, and without friction.

We take an integration-first approach, allowing businesses to seamlessly incorporate a secure, privacy-centric biometric solution into their services. Our platform unites hardware, software, and infrastructure to enable trustless identity verification, making payments, access control, and authentication effortless.

With a commitment to security and compliance, Keyo is redefining what it means to own and control your identity in both the digital and physical worlds.

Apply to this job if the above excites you—if you’re ready to join a team driven by a bold vision that will take time, dedication, and innovation to achieve. We are an intentionally international team, fostering a product culture of extreme ownership, strong teamwork, and technical excellence in problem-solving.

About the Role

We are looking for a Data Quality Assurance to join our Biometric Team. The ideal candidate will play a crucial role in ensuring high-quality datasets for training and evaluating our biometric models. You will be responsible for reviewing, labeling, and categorizing biometric scans (RGB, IR) and identifying rejected scans, spoofs, duplicates, and IR-specific data. Additionally, you will assist in generating datasets under specific conditions to enhance model robustness.

Key Responsibilities

• Label biometric scans (RGB and IR), including rejected scans, spoofs, and duplicate enrollments.
• Review and validate image data, ensuring high-quality and accurate annotations for machine learning training.
• Assist in testing new biometric releases and evaluating their performance.
• Support data collection efforts, including capturing scans in various lighting and environmental conditions.
• Collaborate with ML engineers and researchers to refine annotation guidelines and dataset quality.
• Maintain detailed documentation of labeling criteria, dataset variations, and identified issues.

Qualifications & Skills

Required:

• Prior experience in data annotation, image labeling, or biometric data review.
• Strong attention to detail and the ability to identify patterns in biometric data.
• Familiarity with image analysis tools and annotation platforms.
• Basic understanding of computer vision and machine learning concepts (preferred but not mandatory).
• Ability to work independently and collaborate with teams remotely.
• Strong organizational skills and ability to handle large datasets.

Nice to Have:

• Experience working with biometric systems (e.g., fingerprint, face, palm, or iris recognition).
• Understanding of spoof detection techniques in biometrics.
• Exposure to Python and OpenCV for image processing (bonus).
• Knowledge of data quality assessment techniques.

Qualifications:

• 1+ years of experience in data annotation, labeling, or biometric data analysis.
• Bachelor’s degree in a relevant field (computer science, data science, or related) is preferred but not required.
• Demonstrated ability to work with image datasets and follow detailed annotation guidelines.

Personal Qualities:

• Detail-oriented mindset with a commitment to high-quality work.
• Strong problem-solving skills and a proactive approach to improving data quality.
• Good communication skills and ability to work in a collaborative team environment.
• Adaptability to evolving annotation requirements and biometric challenges.
  
   

What We Offer

• Remote-first Work Environment
• Growth Opportunities
• Competitive Compensation
• Work at a mission driven company with team members from around the world

How to Apply

Start your application with the word banana 🍌—this helps us confirm that you’ve read the job description and understand the requirements.

To apply:

• Submit your resume.
• If you advance past the second interview, you’ll be asked to walk us through a project you’ve completed.
• All interviews require your camera to be turned on.

Important:

Reading from any AI agent during the interview will immediately end the call. We fully embrace AI as a tool for engineers, but we need critical thinkers. Show us that you’re a great fit by demonstrating extreme ownership, strong teamwork, technical excellence, and problem-solving skills.