About brighthush
brighthush is a trailblazer in the AI ecosystem, turning raw, unstructured data into actionable intelligence that powers critical decisions in healthcare, finance, legal, and consumer technology. Our mission is to build AI systems that are not only highly accurate but also transparent, trustworthy, and compliant with the most stringent industry standards. In an era where data is the new currency, brighthush is crafting the infrastructure that transforms it into a competitive advantage for partners worldwide.
From pioneering natural language processing models that interpret complex medical records to developing computer‑vision algorithms that audit financial documents, brighthush’s portfolio showcases the breadth and depth of our expertise. We partner with Fortune 500 companies, nimble startups, and public sector agencies, delivering solutions that reduce risk, increase efficiency, and unlock new revenue streams.
Why brighthush is the Place to Grow Your Career
At brighthush, people are our most valuable asset. We cultivate a remote‑first culture that champions curiosity, precision, and continuous learning. Whether you’re a seasoned data entry specialist or a budding data quality professional, you’ll find a platform where your meticulous work directly shapes the next generation of AI products.
We invest heavily in professional development, offering access to industry certifications, internal workshops, and mentorship from senior data scientists and AI engineers. Our remote teams collaborate across time zones, ensuring that every voice is heard and every idea has the chance to flourish. We celebrate diversity, encourage experimentation, and reward results that push the boundaries of what AI can achieve.
Role Overview
We are seeking a Senior Remote Data Entry & AI Evaluation Specialist to lead a high‑impact AI evaluation project on a contract basis. In this role, you will design, build, and validate realistic data entry tasks that challenge AI systems on accuracy, completeness, and data integrity. Your work will help us benchmark and improve our AI models, ensuring they meet stringent quality and compliance standards. This is an opportunity to work at the intersection of data quality and AI, influencing the performance of systems that power critical decision‑making across multiple sectors.
Key Responsibilities
- Design Realistic Evaluation Tasks: Create data entry scenarios that mimic real‑world workflows, including structured CSVs, PDFs, spreadsheets, and technical documents. Each task should reflect the complexity and nuance of production data.
- Build & Review Datasets: Assemble diverse datasets, ensuring they reflect the variety of data sources and formats encountered in industry. Validate that datasets are representative, balanced, and free of bias.
- Introduce & Identify Errors: Intentionally embed realistic errors—missing fields, malformed records, formatting inconsistencies—and detect them in existing data. Document error patterns for future reference.
- Define Correct Outputs: Specify the expected results and reconciliation rules for each task, providing clear guidance for AI evaluation. Ensure that outputs are unambiguous and measurable.
- Develop Grading Rubrics: Craft detailed scoring criteria that assess AI accuracy, completeness, and data integrity. Include thresholds for acceptable performance and escalation paths for outliers.
- Ensure Compliance: Align tasks with industry data quality and compliance standards (e.g., HIPAA, GDPR, PCI‑DSS). Verify that all data handling practices meet regulatory requirements.
- Collaborate Remotely: Communicate progress, challenges, and insights through written reports and virtual meetings. Use collaboration tools such as Slack, Teams, and Confluence to keep stakeholders informed.
- Iterate & Refine: Use feedback from AI performance to refine tasks and rubrics continuously. Maintain a living document that evolves with each iteration.
- Document Best Practices: Create and maintain a knowledge base of best practices for data entry, error detection, and AI evaluation to support onboarding and continuous improvement.
- Mentor Junior Team Members: Provide guidance and feedback to junior data specialists, fostering a culture of excellence and continuous learning.
Essential Qualifications
- Proven experience in data entry, quality assurance, or data validation roles, with a track record of delivering high‑quality work.
- Strong familiarity with structured and unstructured data across multiple file formats (CSV, Excel, PDF, JSON, XML).
- Demonstrated ability to identify data inconsistencies, formatting errors, missing information, and truncations.
- Excellent written English and documentation skills—capable of producing clear, concise task specifications and grading rubrics.
- Highly detail‑oriented and process‑driven, with a disciplined approach to data quality.
- Self‑motivated and capable of working independently in a remote environment.
- Proficiency with data manipulation tools such as Excel, Power Query, or Python libraries (pandas, openpyxl).
- Experience with version control systems (Git) and collaborative documentation platforms (Confluence, Notion).
Preferred Qualifications
- Experience in regulated or audit‑sensitive environments such as healthcare, finance, or legal operations.
- Familiarity with data governance frameworks (e.g., DAMA‑DMBOK, ISO 8000).
- Basic understanding of AI and machine learning concepts, especially in natural language processing and computer vision.
- Previous involvement in AI evaluation or benchmarking projects.
- Knowledge of data privacy regulations (HIPAA, GDPR, CCPA) and data security best practices.
- Experience with automated testing frameworks or data validation tools.
Skills & Competencies
- Accuracy & Discipline: Unwavering commitment to precision in every task.
- Error Detection: Keen eye for spotting subtle data anomalies.
- Data Validation & Reconciliation: Ability to cross‑check and reconcile disparate data sources.
- Attention to Detail: Meticulous focus on every field, format, and rule.
- Quality Assurance: Systematic approach to testing and validation.
- Communication: Clear written and verbal communication skills for remote collaboration.
- Adaptability: Willingness to iterate on tasks and rubrics based on AI performance feedback.
- Project Management: Ability to manage multiple tasks, deadlines, and stakeholder expectations.
- Technical Proficiency: Comfortable with data tools, scripting, and documentation platforms.
Career Growth & Learning Opportunities
While this is a contract role, brighthush offers a clear pathway to full‑time positions for high performers. You’ll gain exposure to:
- Advanced AI evaluation methodologies and benchmarking techniques.
- Cross‑functional collaboration with data scientists, ML engineers, and product managers.
- Industry‑leading data governance and compliance frameworks.
- Professional certifications (e.g., Certified Data Management Professional, ISO 9001 Lead Auditor).
- Participation in hackathons, internal research projects, and thought‑leadership initiatives.
- Opportunities to contribute to whitepapers, case studies, and conference presentations.
Work Environment & Culture
brighthush champions a flexible, inclusive, and collaborative culture. As a remote team, we rely on:
- Weekly virtual stand‑ups and bi‑weekly deep‑dive sessions to align on priorities.
- Asynchronous communication tools (Slack, Teams, Confluence) for seamless collaboration.
- A culture of psychological safety where ideas are welcomed and constructive feedback is the norm.
- Regular knowledge‑sharing sessions, hackathons, and “lunch & learn” events to foster continuous learning.
- Transparent career ladders and mentorship programs that help you grow into leadership roles.
- Inclusive hiring practices that celebrate diversity across gender, ethnicity, age, and background.
- Access to a global network of experts and thought leaders in AI, data science, and compliance.
Compensation & Benefits
Our compensation model is output‑based—you receive payment for each task that meets the defined quality criteria. While the exact rate varies by task complexity, we ensure competitive pay that reflects the value of your expertise. Additional benefits include:
- Flexible work hours and a fully remote setup.
- Access to a digital benefits portal covering health, dental, and vision insurance options.
- Professional development stipend for courses, certifications, or conferences.
- Performance bonuses for consistently high‑quality deliverables.
- Paid time off, mental health resources, and wellness programs.
- Equity or profit‑sharing options for long‑term contributors.
- Annual company‑wide virtual retreats and team‑building activities.
How to Apply
Ready to help shape the future of AI? Submit your application through our portal and include:
- A concise résumé highlighting relevant data entry or QA experience.
- A brief cover letter explaining why you’re passionate about data quality and AI evaluation.
- Examples of past work or case studies that demonstrate your attention to detail and error detection skills.
- Any certifications or training that support your qualifications.
- Availability for a brief introductory interview within 48 hours of application.
We review applications on a rolling basis and typically fill roles within 48 hours. Selected candidates should be prepared to begin tasks within 24–48 hours after onboarding.
Join brighthush Today
At brighthush, your meticulous work will directly influence the accuracy and reliability of AI systems that power critical industries worldwide. If you thrive in a fast‑paced, remote environment and are driven by a commitment to data excellence, we want to hear from you. Apply now and become a key contributor to the next wave of intelligent solutions.
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