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Data Annotation Services Jobs in Raleigh, NC (NOW HIRING)

Data Annotation Services information

How hard is it to get hired by data annotation?

Getting hired for data annotation services typically requires basic computer skills, attention to detail, and the ability to follow instructions. Many positions are entry-level and may not require prior experience, but familiarity with annotation tools and good accuracy can improve chances of employment.

What are the key skills and qualifications needed to thrive in Data Annotation Services, and why are they important?

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

Does data annotation actually pay you?

Data annotation services typically pay workers for labeling data used in machine learning models. Payment rates vary depending on the platform, task complexity, and experience, with many jobs offering hourly or per-task compensation. Reliable platforms often require basic skills in data handling and attention to detail.

Is data annotation real or fake?

Data annotation is a legitimate job that involves labeling data such as images, text, or videos to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development. The work is real and essential for creating accurate AI systems.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What does a data annotation job do?

A data annotation job involves labeling or tagging data such as images, text, or videos to help train machine learning models. Workers use tools to add metadata, which improves the accuracy of AI systems, often working remotely with flexible schedules and requiring attention to detail. Knowledge of annotation tools and data quality standards is beneficial.

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.
What are popular job titles related to Data Annotation Services jobs in Raleigh, NC? For Data Annotation Services jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Annotation Services jobs in Raleigh, NC look for? The top searched job categories for Data Annotation Services jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Annotation Services jobs? Cities near Raleigh, NC with the most Data Annotation Services job openings:
Infographic showing various Data Annotation Services job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Principal Software Engineer - Variant Knowledge Platform

Labcorp

Durham, NC

$130K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Labcorp rating

6.6

Company rating: 6.6 out of 10

Based on 1,133 frontline employees who took The Breakroom Quiz

97th of 120 rated laboratories


Job description

Labcorp is a leader in diagnostics, drug development and healthcare innovation. Across every role, we harness data and AI to work smarter, move faster and create breakthrough solutions that improve health outcomes for people. With our global scale and deep expertise, you'll do meaningful work, grow your career and make a real impact. Together, we're improving health and improving lives.


Labcorp is a global leader in diagnostic testing and drug development solutions, helping healthcare providers, researchers, and patients make informed decisions that advance care. Join us in our mission to improve health and improve lives.

Work Schedule

This is a fulltime, exempt (salaried) position assigned to a First Shift schedule, with standard business hours of Monday through Friday, 8:00 a.m. to 5:00 p.m. in your time zone. Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.

Responsibilities

  • Own the technical design for large, ambiguous, open-ended problems that span the Variant Knowledge Platform and the broader interpretation stack, where there is no clear off-the-shelf solution.
  • Define and evolve the data models for variant identity, classification, and annotation, holding a high bar for correctness and consistency. Identity or schema drift in this domain can corrupt classifications platform-wide.
  • Design production-grade, versioned REST API contracts, secured via the platform's identity provider (Okta), that internal consumers and enterprise clients integrate against, including versioning, deprecation, and governance strategies.
  • Lead the evolution of the systems that turn raw bioinformatic data into trustworthy variant- and sample-level information, and the pipelines that source, maintain, and serve variant annotations, toward real-time, multi-tenant operation.
  • Drive the architecture for automating evidence placement and classification, and for scaling the storage and retrieval of sample- and variant-level data as volume and client count grow.
  • Define org-wide system architectures and rally engineers and stakeholders around them through clear rational, written design documents, and Architecture Decision Records (ADRs).
  • Lead cross-team technical programs as a named principal-level lead, coordinating design, sequencing, and delivery across platform, boundary/tenancy, and curation teams, and represent the platform in the Architecture Review Forum.
  • Set the strategy for system operability: testing, observability (including multi-tenant observability), health monitoring, reliability, and on-call practices under a "you build it, you run it" model.
  • Lead large-scale data migration and backfill efforts, such as consolidating legacy interpretation data into VKB, with the rigor, staging, and validation gates such work demands.
  • Shape the platform's role in enabling future test content and assay development through its data and services.
  • Mentor and level up engineers across multiple teams through technical guidance, design review, and role-modeling, multiplying the org's overall engineering capability.
  • Partner with cross-functional stakeholders across product, curation science, and clinical to identify business opportunities enabled by the platform and align technical strategy to them.
  • Communicate technical vision and trade-offs clearly to audiences ranging from individual engineers to executives, securing buy-in for direction-setting decisions.

Minimum Qualifications

  • Bachelor's Degree.
  • Five or more years of experience in REST API and contract design, including versioning and depreciation strategy and secure service-to-service authentication (e.g., Okta-based identity).
  • Two or more years of experience designing and operating cloud-based services on AWS.
  • Five or more years of experience in a primary backend programming language used for data-intensive services (e.g., Python).

Preferred Qualifications

  • One or more years of experience in genomics or bioinformatics, such as variant interpretation, clinical genetics, HGVS/variant nomenclature, gene/transcript annotation, or evidence-based classification.
  • Two or more years of experience with event-driven and asynchronous messaging architectures (e.g., AWS SQS) and building clean REST gateways in front of them.
  • One or more years of experience working in a regulated or clinical environment, including version pinning and validation needs driven by regulatory requirements.

Additional Qualifications

  • Experience building multi-tenant, platform-as-a-product systems serving multiple internal and external consumers.
  • Experience delivering multi-tenant observability and cross-cutting reliability for shared platform services.
  • Experience executing large one-time data migrations and backfills with provenance and validation guarantees.
  • Experience designing, building, and operating large-scale, distributed backend systems and data platforms in production.
  • Experience defining and driving operational excellence across testing strategy, observability, health monitoring, and production reliability.
  • Strong data modeling skills for systems where data consistency and correctness are critical, including schema evolution and migration at scale.
  • Experience of org-wide technical leadership: setting architecture across teams, authoring ADRs or equivalent design records, and building alignment across engineering and cross-functional partners on ambiguous, high-impact initiatives.
  • Excellent written and verbal communication, including the ability to tailor technical messaging from engineers to executive audiences.
  • Familiarity with analytics data ecosystems (e.g., Snowflake) and the trade-offs between batch or lagged and real-time data paths.

Labcorp Genetics is seeking a Principal Software Engineer to help shape and build the Variant Knowledge Platform, the team and systems responsible for variant identity, classification, and annotation. The platform provides the authoritative source of variant truth that powers clinical interpretation, curation, and analytics across the organization.

In this role you will own ambiguous, org-spanning technical problems end to end, define the architectures and API contracts that platform consumers build on, drive cross-team initiatives, and raise the engineering bar for teams well beyond your own. Because variant identity and classification data flow directly into clinical reports and downstream analytics, the systems you design must be correct, versioned, and durable.

Application Window closes 8/7/2026

Pay Range: $180,000 - $205,000 annually

All job offers will bebased on a candidate's skills and prior relevant experience, applicabledegrees / certifications,as well as internal equity and market data. The position is also eligible for an annual bonus under the Labcorp Bonus Plan.Bonuses are payable based on corporate and/or business segment performance and are subject to individual performance modifiers.

Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan.Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan.Employees who are regularly scheduled toworka 7 on 7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, pleaseclick here.


Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.


We encourage all to apply

If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit ouraccessibility siteor contact us atLabcorp Accessibility. Formore information about how we collect and store your personal data, please see ourPrivacy Statement.



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