Senior Remote Data Entry & Validation Specialist – AI Benchmark Project – Contractor – High‑Impact Data Quality Engineer for brighthush

About brighthush and the Future of AI

brighthush is at the forefront of artificial intelligence research, building systems that learn, reason, and adapt with unprecedented precision. Our mission is to create AI that is not only powerful but also trustworthy, transparent, and compliant with the highest regulatory standards. To achieve this, we rely on one of the most critical foundations of any intelligent system: high‑quality, well‑structured data. As a Remote Data Entry & Validation Specialist, you will be the linchpin that ensures our AI models are fed the best possible information, enabling them to make accurate, reliable decisions across healthcare, finance, legal, and other regulated domains.

Why Join brighthush?

• Impact at Scale: Every line of data you curate becomes part of the training set for AI systems that will serve millions of users worldwide.
• Flexibility: Work from anywhere—our fully remote environment means you can balance professional growth with personal life.
• Professional Growth: Gain exposure to advanced AI concepts, data engineering, and regulatory compliance—skills that are in high demand across tech and industry.
• Competitive Compensation: Earn per task, with rates that reflect your expertise and the complexity of the work.
• Collaborative Culture: Join a distributed team that values clear communication, autonomy, and continuous learning.

Key Responsibilities

As a Data Entry & Validation Specialist, you will design, curate, and evaluate high‑quality datasets that challenge our AI agents. Your day‑to‑day tasks will include:

• Dataset Design: Create realistic, complex data entry scenarios that mimic real‑world challenges—malformed records, missing fields, inconsistent formatting, and more.
• Data Curation: Assemble large CSVs, PDFs, spreadsheets, and technical documents, ensuring they contain authentic error patterns typical of regulated environments.
• Task Specification: Define the “correct” final state for each dataset, detailing error cases and reconciliation rules that AI agents must follow.
• Rubric Development: Author comprehensive grading rubrics with 35+ criteria, focusing on accuracy, completeness, and error detection capabilities.
• Quality Assurance: Review AI outputs against rubrics, flag discrepancies, and provide actionable feedback for model improvement.
• Collaboration: Work asynchronously with cross‑functional teams—data scientists, engineers, and compliance experts—to refine evaluation materials.
• Documentation: Maintain clear, versioned records of tasks, rubrics, and outcomes to support reproducibility and auditability.

Essential Qualifications

We are looking for individuals who bring a blend of domain expertise, meticulous attention to detail, and a passion for data integrity. The following qualifications are essential:

• Proven experience in data entry, quality assurance, or data validation within regulated or audit‑sensitive domains (e.g., healthcare claims, finance back‑office, legal operations).
• Track record of achieving high accuracy standards—documented error rates and measurable outcomes.
• Strong analytical skills for detecting and resolving data inconsistencies, silent truncations, and formatting irregularities across diverse file types.
• Excellent written English—capable of drafting complex evaluation tasks and detailed grading rubrics.
• Exceptional attention to detail and a disciplined, process‑oriented work style.
• Experience in high‑stakes compliance projects where data integrity is critical.
• Comfort working independently and proactively communicating within a remote, distributed environment.

Preferred Qualifications

While not mandatory, the following experience will give you a competitive edge:

• Background in AI or machine learning, with an understanding of how data quality impacts model performance.
• Familiarity with data governance frameworks (e.g., GDPR, HIPAA, SOX) and data privacy best practices.
• Experience using data validation tools or scripting languages (Python, R, SQL) to automate quality checks.
• Prior involvement in creating benchmark datasets or participating in AI evaluation competitions.

Skills & Competencies

Success in this role requires a blend of technical and soft skills:

• Data Literacy: Deep understanding of data structures, file formats, and common data quality issues.
• Analytical Thinking: Ability to dissect complex datasets and identify root causes of errors.
• Strong Communication skills—both written and verbal—to articulate requirements and feedback clearly.
• Self‑motivation and time management to meet weekly task quotas and deadlines.
• Adaptability—quickly learning new tools, processes, and industry regulations.
• Team orientation—collaborating with data scientists, engineers, and compliance officers to refine datasets.

Career Growth & Learning Opportunities

At brighthush, we believe in nurturing talent. As a Data Entry & Validation Specialist, you will:

• Gain hands‑on experience with AI training pipelines and evaluation frameworks.
• Learn from senior data scientists and engineers through regular knowledge‑sharing sessions.
• Participate in workshops on data governance, privacy, and compliance.
• Contribute to publications and internal reports that shape industry best practices.
• Explore pathways to roles such as Data Quality Lead, AI Benchmark Engineer, or Compliance Analyst.

Work Environment & Culture

brighthush thrives on a culture of innovation, transparency, and respect. Key aspects of our environment include:

• Remote First: Work from any location with a reliable internet connection.
• Autonomy: Own your tasks and deliver results with minimal micromanagement.
• Inclusive Community: Diverse teams across time zones collaborate through asynchronous channels.
• Continuous Learning: Access to online courses, conferences, and internal knowledge bases.
• Regular virtual coffee chats and team building events to foster connection.

Compensation & Benefits

Our compensation model is designed to reward expertise and output:

• Output‑Based Pay: Earn per task that meets project specifications, with rates reflecting task complexity.
• Minimum weekly task submission requirements ensure steady income.
• Performance bonuses for consistently high accuracy and quality.
• Health and wellness resources—access to virtual fitness classes, mental health support, and flexible work hours.
• Professional development stipend for courses, certifications, or conferences.
• Equity options for long‑term contributors (subject to company policy).

How to Apply

If you are ready to make a tangible impact on AI systems that will shape the future, we encourage you to apply today. Join brighthush and help us build the most reliable, compliant, and intelligent AI solutions in the world.

Ready to start? Submit your application through our portal and let’s build the future together.