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Contract Data Annotation Jobs in Stockbridge, GA

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Contract Data Annotation information

What is a contract data annotation?

A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.

What are the key skills and qualifications needed to thrive as a contract data annotation specialist?

To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.

What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?

Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.

What is the difference between Contract Data Annotation vs Data Labeler?

AspectContract Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, task-based
Industry UsageAI/ML training, tech companiesAI/ML training, tech companies
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI algorithms

Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.

Is data annotation still hiring?

Data annotation roles are currently in demand as companies continue to develop AI and machine learning models. Many positions are available for remote work, often requiring basic computer skills and attention to detail, with some roles offering flexible schedules. Job availability can vary by industry and region, so checking specific job boards is recommended.

Is it hard to get hired for contract data annotation?

Contract data annotation jobs are generally accessible to individuals with basic computer skills and attention to detail. The hiring process often involves completing a skills test or sample annotation task, and some roles may require familiarity with specific tools or platforms. Competition can vary depending on the demand and the company's requirements, but many positions are available for entry-level candidates.

What are the most commonly searched types of Data Annotation jobs in Stockbridge, GA?

The most popular types of Data Annotation jobs in Stockbridge, GA are:

What job categories do people searching Contract Data Annotation jobs in Stockbridge, GA look for?

The top searched job categories for Contract Data Annotation jobs in Stockbridge, GA are:

What cities near Stockbridge, GA are hiring for Contract Data Annotation jobs?

Cities near Stockbridge, GA with the most Contract Data Annotation job openings:

Bioinformatics Specialist

BeVera Solutions LLC

Atlanta, GA • On-site

Full-time

Posted 6 days ago


Job description

Description

About BeVera Solutions, LLC 

BeVera Solutions, LLC is a rapidly growing public health and professional services company that provides innovative solutions to federal and state agencies. Our team supports mission-critical programs through expertise in program management, communications, acquisition, data analytics, and public health initiatives. BeVera's CEO champions a people-first culture where every employee is valued. The company supports this commitment by offering competitive compensation and meaningful, impactful work assignments.  


Recognized as one of Atlanta's Best Places to Work (2024 & 2025 & 2026) by the Atlanta Business Chronicle, BeVera fosters a culture of integrity, excellence, and collaboration.


NOTE: Position Contingent upon award of contract.  This role is part of a pre-award candidate search for an upcoming federal government contract.  Employment is contingent upon BeVera Solutions receiving the contract award, final Government approval, funding, and any applicable client or contract requirements.  

Job Description Essential Duties

BeVera Solutions is seeking a highly experienced Bioinformatician - Scientific Computing & Genomics to perform genomic data analysis and develop, execute, maintain, and troubleshoot reproducible bioinformatics workflows supporting CDC's Office of Advanced Molecular Detection (OAMD).

The position supports next-generation sequencing, microbial genomics, scientific scripting, workflow development, HPC and cloud computing, statistical analysis, and technical consultation for public-health laboratory and pathogen-analysis activities.


Bioinformatics & Genomic Analysis

  • Perform bioinformatics analysis of next-generation and other high-throughput sequencing data. 
  • Support genome sequencing, assembly, annotation, microbial genomics, metagenomics, transcriptomics, phylogenetics, and related analyses. 
  • Conduct statistical analyses and scientific data-quality reviews. 
  • Process and analyze complex genomic and other biological datasets. 

Workflow Development & Scientific Programming

  • Develop, execute, modify, test, document, and maintain reproducible bioinformatics workflows. 
  • Develop and support workflows using Nextflow and related workflow-management technologies. 
  • Create scientific scripts and analytical tools using Python, R, Perl, Java, BioPerl, or similar languages. 
  • Optimize pipelines for computational efficiency, storage utilization, scalability, and reproducibility. 

HPC, Cloud & Software Environment Support

  • Adapt bioinformatics workflows and algorithms to HPC and cloud-computing environments. 
  • Support implementation, configuration, testing, and validation of open-source, commercial, and custom bioinformatics software. 
  • Assist with containerized bioinformatics applications and scientific-computing environments. 
  • Maintain and update reference datasets, databases, software environments, and analytical resources. 
  • Troubleshoot workflow failures, software dependencies, data-format compatibility issues, analytical errors, and computational-resource problems. 

Quality Assurance, Validation & Documentation

  • Participate in software testing, quality-control, validation, and user-acceptance activities. 
  • Document analytical methods, workflows, software configurations, results, and technical procedures. 
  • Contribute to technical reports, scientific presentations, manuscripts, methods documentation, and other program products as needed. 

Scientific Consultation & User Support

  • Provide bioinformatics technical consultation and user support appropriate to level of experience. 
  • Assist scientists and technical users in understanding bioinformatics tools, analyses, workflows, and results. 

Collaboration, Training & Leadership

  • Collaborate with bioinformaticians, scientists, system administrators, DevOps personnel, infrastructure teams, data-management personnel, and other technical staff. 
  • Participate in technical training, knowledge-sharing, and continuous professional development. 
  • Senior-level incumbents may mentor less-experienced bioinformatics personnel and lead complex analytical assignments.

Requirements

Required Qualifications

  • Demonstrated education, training, or professional experience related to bioinformatics, computational biology, genomics, biological sciences, computer science, data science, or a closely related field.
  • Knowledge of bioinformatics methods and genomic or sequencing-data analysis.
  • Experience or demonstrated proficiency with scientific scripting or statistical programming.
  • Ability to work with large and complex scientific datasets.
  • Ability to document analytical methods and technical procedures.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work collaboratively within multidisciplinary scientific and technical teams.

Preferred Qualifications

Experience supporting public-health, infectious-disease, laboratory-science, HHS, CDC, or other federal scientific programs is also preferred.

Programming & Scientific Computing

  • Python      
  • Perl 
  • Java/BioPerl
  • Linux 
  • High-performance computing (HPC) 
  • Cloud-computing environments 

Bioinformatics Workflows & Development

  • Nextflow      
  • nf-core/ph-core or similar workflow standards 
  • Bioinformatics workflow optimization 
  • Containers/Singularity or similar technologies 
  • Scientific software testing and validation 

Genomics & Sequence Analysis

  • Next-generation sequencing (NGS) and high-throughput sequencing 
  • Genome assembly 
  • Functional annotation 
  • Microbial genomics 
  • Metagenomics      
  • Phylogenetic analysis 

Data Analysis & Public Health

  • Statistical analysis 
  • Epidemiologic or public-health data