Human Labeling Analyst and Data Annotation Specialist

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps people discover opportunities, build their profiles, and apply to projects that shape how modern AI systems work.

• Remote contractor opportunity available worldwide
• Create a free OpenTrain account and apply in minutes
• Work directly on high-quality human data preparation for AI

About AI Training and Data Annotation

AI training is the human side of building artificial intelligence. People prepare, review, and verify examples that help AI systems understand information more accurately. This work can include research, annotation, evaluation, transcription, and other forms of structured human feedback.

In this project, your research and verification work will help create reliable company data. The role is fully manual, with no automation or AI tools used for labeling.

• Contribute to a fast-growing technology industry
• Work remotely with flexible project-based opportunities
• Use research, reasoning, and attention to detail to improve data quality

The Role

As a Human Labeling Analyst, Data Annotation Specialist, or Data Researcher, you will manually verify and annotate company records. Each record represents a company, and your work will involve checking business information across open sources and documenting verified findings in Excel.

This is an intermediate contractor role for English-speaking researchers who can assess company information carefully, distinguish facts from assumptions, and explain their reasoning in concise written notes.

• Pay: $15 per hour
• Engagement: Contractor
• Location: Worldwide and fully remote
• Language: English
• Experience level: Intermediate
• Data type: Text

What You'll Do

You will investigate company information using publicly available sources, correct inaccurate records, fill in missing fields, and highlight verified values in Excel. The work requires persistence and careful reading because company information may need to be compared across several sources.

You will be expected to document your reasoning and keep information factual, traceable, and logically supported. When a topic is unclear, you should study it before making a labeling decision rather than guessing.

• Verify company names and jurisdictions
• Research official websites and company profiles
• Check directors and shareholders
• Investigate revenue ranges and payment types, including online or offline payments
• Review official registries, company websites, LinkedIn, and press coverage
• Correct mistakes and add missing company attributes
• Highlight all verified values in Excel
• Write short English notes explaining relevant research or decisions

Requirements

The strongest candidates combine persistence with broad general knowledge of how businesses operate. You should understand the basic concepts behind legal entities, company structures, and revenues, while remaining willing to research unfamiliar topics in depth.

Accuracy is essential. You must be comfortable checking multiple sources, identifying information that is actually supported, and avoiding unsupported assumptions.

• Strong research skills and persistence
• Ability to continue searching until all reasonable sources are exhausted
• Broad understanding of businesses, legal entities, company structures, and revenues
• Critical thinking and intellectual curiosity
• Careful, factual, and traceable data handling
• Strong attention to detail
• Comfort writing short English notes and documenting reasoning
• Ability to work without automation or AI tools

Who Should Apply

This opportunity may suit researchers, analysts, and detail-oriented professionals who enjoy understanding how companies are structured and supported by public information. It is especially relevant for people interested in company profiling and legal entity analysis.

You do not need to guess when information is incomplete. The role rewards people who recognize uncertainty, investigate thoughtfully, and label only what they can support with evidence.

• Company profiling researchers
• Data annotation and data quality specialists
• Business or legal entity researchers
• Analysts who enjoy structured open-source research
• Detail-oriented professionals comfortable working independently

How to Apply Through OpenTrain

Create a free account on OpenTrain, build your profile, and apply to this project in minutes. If selected as a contractor, you will use your research and verification skills to help prepare dependable business data for AI training.

• Apply remotely from anywhere in the world
• Review the project details and contractor terms
• Highlight your research, company analysis, and data quality strengths
• Begin contributing to human-led AI training work