Data Labeler

We are seeking a conscientious, detail-oriented, and analytical professional to join our team. The role is primarily focused on data labeling and validating labels with other team members. The ideal candidate will have a passion for historical data and genealogy. You will be responsible for identifying patterns and connections, and providing insights that help individuals understand their family history.

• Data Collection and Cleaning: Collect, clean, and process historical family records from various sources, ensuring data quality and accuracy via our in-house data extraction tool.
• Pattern Recognition: Identify patterns, relationships, and anomalies in family records across multiple languages.
• Historical Research: Collaborate with peers to validate data findings and enhance the understanding of family histories.
• Collaboration: Work with cross-functional teams to integrate data findings.
• Documentation and Data Validation.

• Education: Bachelor’s degree and some experience in the data science field.
• Experience: Entry to Mid-level professional looking to move into Data Labeling.
• Analytical Skills: Excellent problem-solving skills and the ability to think critically and analytically.
• Communication: Strong verbal and written communication skills, with the ability to explain complex concepts to non-technical audiences.
• Perseverance and attention to detail when working with difficult-to-read documents.
• Ability to recognize patterns in historical documents.
• Interest in learning to read multiple languages.
• English language proficiency: minimum B2 level.

• Competitive salary.
• Flexible work hours and remote work.
• Professional development and training opportunities.
• Inclusive and collaborative work environment with a multicultural team.

Ready to take your talent to the next level?
At Heinsohn, we value innovation, passion for technology, and teamwork. If this sounds like your next challenge, apply today and let’s make history together! ✨