Data Labeling & Annotation Services

Partnering with 1840 & Company provides you with access to trained data annotation professionals, AI-powered workflows, and proven labeling frameworks, all without the need to expand internal headcount. Our managed data annotation services deliver offshore teams that scale quickly to match your data volume and complexity. You save time and reduce costs while ensuring accuracy, speed, and compliance. Your internal teams can stay focused on model development while we handle data preparation and quality assurance.

Unlike typical data labeling vendors, 1840 & Company operates as a fully managed outsourcing partner—not a marketplace. We combine human expertise with AI-driven talent matching, deliver vetted candidates within 5 business days, and maintain a 98% placement success rate. Clients benefit from end-to-end workforce management, global compliance, and cost savings of up to 70% compared to traditional hiring models.

Data protection is built into every stage of our data labeling and annotation outsourcing operations. We apply end-to-end encryption, strict access controls, and NDA-backed confidentiality agreements across all projects. 1840 complies with HIPAA, GDPR, and ISO 27001 standards. Our secure annotation environments ensure sensitive data—especially medical, financial, or proprietary datasets—remain protected during handling, processing, and delivery.

Our managed data labeling teams work directly within your preferred tools, MLOps pipelines, and cloud environments. We support leading platforms such as Label Studio, CVAT, Doccano, AWS SageMaker Ground Truth, and custom enterprise tools. This seamless integration ensures consistent annotation standards and smooth collaboration without disrupting your current AI development processes.

Yes. 1840 delivers domain-specific data annotation services tailored for industries like healthcare, finance, retail, automotive, and energy. We follow sector-specific compliance frameworks such as HIPAA, GDPR, PCI DSS, and ISO 27001. Our teams are trained to handle sensitive data with full traceability, documentation, and adherence to each industry’s security standards.

Quality is ensured through multi-layered annotation quality assurance (AQA). We combine human review, AI-assisted validation, and continuous feedback loops to maintain high precision and consistency across datasets. Clients receive transparent quality metrics, error reports, and improvement recommendations to keep model performance strong over time.

We monitor KPIs such as annotation accuracy, throughput efficiency, quality score consistency, and turnaround time. Clients receive real-time dashboards and weekly reports for visibility into project progress. Regular quality reviews ensure measurable improvements and continuous optimization of labeling workflows.

We move fast. Most clients have their annotation team up and running in under two weeks, with vetted specialists ready to start within just five business days. Through our AI-powered Talent Cloud, we handle the sourcing, screening, and onboarding. From day one, your team delivers in-house quality and reliability, enabling your data projects to move forward faster. Speak with our team of experts today to design a managed data annotation solution tailored to your project goals and timeline.