DataAnnotation

DataAnnotation (also written Data Annotation, and operating at dataannotation.tech) is an online work platform that recruits remote contractors to produce and evaluate training data for artificial intelligence systems. Rather than selling a consumer product, the brand's offering is paid, flexible, remote contract work: skilled professionals sign up, are matched to projects that fit their expertise, and are compensated at hourly rates that the company advertises as ranging from roughly $25–$50 per hour for generalist tasks up to $75–$125+ per hour for expert roles. The platform positions itself around the idea of "future-proofing your career with AI training work," framing the contractor relationship as a way for domain experts to monetize their knowledge by teaching AI models. The work spans a deliberately broad set of disciplines. On its public job board the company lists roles in Coding (software engineer, frontend, backend, DevOps, machine learning engineer), Data & ML (data scientist), Cybersecurity, STEM (chemist, physicist), Engineering, Finance (finance expert, quantitative analyst, portfolio manager), Accounting (tax accountant, corporate accountant), Legal (legal expert, attorney, paralegal, corporate attorney), Medical (physician, nurse, health/medical expert), Healthcare Operations (operations manager, compliance specialist), Design (designer), and Languages, alongside a Generalist track. Advertised pay bands cluster around $40–$150+ per hour for technical and quantitative roles and $40–$125+ per hour for many professional and language roles, with generalist work at $25–$50 per hour. The site surfaces live counts of roles and of contractors "hired recently" per category, reinforcing a high-volume, continuously recruiting model. DataAnnotation is identified in public structured data as a subsidiary of Surge AI, the AI data-labeling and data-annotation company. That ownership places the brand within the broader market for human feedback and training data used to build and fine-tune large language models and other AI systems — a market in which Surge AI is a well-known supplier. DataAnnotation functions as a talent-facing front end for that business: it recruits the human experts whose judgments, annotations, and evaluations become the labeled data that AI developers use. Because the platform is remote-first and contract-based, its operating model is global in reach even though its corporate parent is US-based. Contractors apply through an online signup flow, sign in to a dedicated application portal, and are matched to projects by skill. The brand does not publish a conventional product catalog; its "products" are the role categories and project types it staffs. Its public communications emphasize flexibility (choose your own hours), consistency of available projects, and expert-level pay as the main draws for prospective workers.

DataAnnotation operates at dataannotation.tech as a platform for paid remote AI training work. Public structured data identifies it as a subsidiary of Surge AI, the AI data-labeling company, which places the brand within the human-feedback and training-data supply chain that supports modern AI model development. The brand's public-facing activity centers on a job board and an application portal rather than a conventional product line. The platform's model is to recruit contractors across a wide range of professional domains and match them to projects suited to their skills. Its job board organizes openings into categories including Coding, Cybersecurity, Data & ML, STEM, Engineering, Finance, Accounting, Legal, Medical, Healthcare Operations, Design, Languages, and General. Within these categories it advertises specific roles such as Software Engineer, Frontend Engineer, Backend Engineer, DevOps Engineer, Machine Learning Engineer, Data Scientist, Quantitative Analyst, Portfolio Manager, Tax Accountant, Corporate Accountant, Legal Expert, Attorney, Paralegal, Corporate Attorney, Health/Medical Expert, Physician, Nurse, Healthcare Operations Manager, Healthcare Compliance Specialist, Designer, Chemist, and Physicist, alongside a Generalist track. Compensation is advertised in hourly bands: technical and quantitative roles such as Software Engineer, Data Scientist, and Machine Learning Engineer are listed at $40–$150+ per hour; many professional roles in finance, accounting, legal, medical, healthcare operations, cybersecurity, design, and STEM are listed at $40–$125+ per hour; and generalist work is listed at $25–$50 per hour. The site also displays counts of open roles and of contractors "hired recently" per category, indicating continuous, high-volume recruiting. Prospective workers apply through an online signup flow and sign in to a dedicated application portal. The brand markets the work as flexible and remote, with consistent projects and expert rates, under the slogan of future-proofing a career through AI training work. Because the platform is remote and contract-based, it can draw contractors from beyond the United States even though its parent is US-based. The brand does not disclose detailed corporate history, founding dates, or leadership on its public pages, and its public identity is defined primarily by the roles it staffs and the rates it advertises.

A remote, contract-based platform that pays domain experts to train and evaluate AI models, marketed on flexibility, consistent project flow, and expert-level hourly rates.

• Software Engineer (Coding)

• Data Scientist (Data & ML)

• Machine Learning Engineer (Data & ML)

• Frontend Engineer (Coding)

• Backend Engineer (Coding)

• DevOps Engineer (Coding)

• Finance Expert (Finance)

• Quantitative Analyst (Finance)

• Portfolio Manager (Finance)

• Tax Accountant (Accounting)

• Corporate Accountant (Accounting)

• Legal Expert (Legal)

• Attorney (Legal)

• Paralegal (Legal)

• Corporate Attorney (Legal)

• Health/Medical Expert (Medical)

• Physician (Medical)

• Nurse (Medical)

• Healthcare Operations Manager (Healthcare Ops)

• Healthcare Compliance Specialist (Healthcare Ops)

• Cybersecurity Expert (Cybersecurity)

• Designer (Design)

• Chemist (STEM)

• Physicist (STEM)

1. 1DataAnnotation | Future-Proof Your Career With AI Training Workdataannotation.tech
2. 2Data Annotation 2026 — Corporate Attorneydataannotation.tech
3. 3Data Annotation 2026 — Corporate Accountantdataannotation.tech
4. 4Data Annotation — Wikidatawikidata.org