At Heinsohn, we partner with clients across North America and LATAM, building innovative solutions in an agile, diverse, and multicultural environment. We are passionate about technology, continuous learning, and collaboration - and we want you to be part of this growth.
We are looking for a Data Labeler to join our team and bring expertise that will contribute to the success of high-impact international projects.
Key Responsibilities
Data Collection and Cleaning: Collect, clean, and process historical family records from various sources, ensuring data quality and accuracy using our in-house data extraction tool.
Pattern Recognition: Identify patterns, relationships, and anomalies in family records and historical documents across multiple languages.
Historical Research: Collaborate with peers to validate data findings and contribute to a better understanding of family histories.
Collaboration: Work with cross-functional teams to integrate and validate data findings.
Documentation and Data Validation: Review, document, and validate historical data to ensure consistency, accuracy, and completeness.
Qualifications
Specific Language Requirement: Ability to read and interpret Dutch at an intermediate level or higher is essential for this role.
English: Intermediate to advanced English proficiency is required, as the role involves working with an international, multicultural team.
Education: Bachelor’s degree in Data Science, Humanities, History, Linguistics, or a related field. Equivalent academic or professional experience may also be considered.
Experience: Entry- to mid-level professional with some experience in data science, data labeling, data annotation, research, or a related field.
Analytical Skills: Strong problem-solving skills and the ability to think critically and analytically.
Communication: Good verbal and written communication skills, with the ability to explain findings and concepts clearly.
Attention to Detail: Strong perseverance and attention to detail when working with historical records and difficult-to-read documents.
Pattern Recognition: Ability to identify patterns, relationships, and inconsistencies in historical documents and datasets.
Language Skills: Interest in learning to read and interpret additional languages and historical documents.
Research Mindset: Curiosity and willingness to investigate unfamiliar names, places, dates, and historical records.
Additional Information
Location: Remote – Latin America (LATAM).
Work Schedule: The work schedule aligns with Salt Lake City, Utah (Mountain Time) or nearby time zones.
The position involves working with an international and multicultural team.
Benefits
Competitive salary.
Flexible work hours and remote work.
Professional development and training opportunities.
Inclusive and collaborative work environment with a multicultural team.
Opportunity to work on international projects involving historical records and multilingual data.
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! ✨
Intermediate Dutch reading ability, intermediate to advanced English, and a bachelor's degree or equivalent experience. Requires analytical, research, communication, pattern-recognition, and data-labeling skills.
Key Responsibilities
- cleaning data
- recognizing patterns
- validating records
Job Details
- Category: Data and Analytics
- Seniority: Entry Level
- Commitment: Full Time
- Workplace: Remote — South America
- Languages: Dutch, English
Benefits
- Tuition reimbursement
About Heinsohn Business Technology
A technology company providing tailored solutions that support business growth across international markets. — Industry: Information Technology