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Data Annotation Engineer Jobs in Lawrenceville, GA

Bioinformatician

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Perform quality control, assembly, annotation, and analysis of environmental metagenomic sequencing ... Strong Python programming skills with experience in bioinformatics data analysis * Familiarity with ...

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Data Annotation Engineer information

See Lawrenceville, GA salary details

$47.2K

$135.1K

$180.5K

How much do data annotation engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data annotation engineer in Lawrenceville, GA is $135,122.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $179,600.00 per year, depending on experience, location, and employer.

What are the main challenges faced by data annotation engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

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

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What is a data annotation engineer?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Lawrenceville, GA?

For Data Annotation Engineer jobs in Lawrenceville, GA, the most frequently searched job titles are:

What job categories do people searching Data Annotation Engineer jobs in Lawrenceville, GA look for?

The top searched job categories for Data Annotation Engineer jobs in Lawrenceville, GA are:

What cities near Lawrenceville, GA are hiring for Data Annotation Engineer jobs?

Cities near Lawrenceville, GA with the most Data Annotation Engineer job openings:

Infographic showing various Data Annotation Engineer job openings in Lawrenceville, GA as of August 2026, with employment types broken down into 52% Full Time, and 48% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $135,122 per year, or $65 per hour.

Bioinformatician

Goldbelt, Inc.

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

Overview

Please note that this position is contingent upon the successful award of a contract currently under bid.

Goldbelt Integrated Logistics Services (GbILS) provides four specific areas of expertise—Logistics Engineering, Measurement Sciences, Program Management, and Technical Support—serving the scientific, technical, and engineering needs of clients. GbILS values its innovative thinking and service-oriented team who provide services for a variety of federal government and commercial clients.  

Summary:

GbILS is seeking a Bioinformatician to support sequencing analytics, bioinformatics pipeline development, and computational data management.  This position will develop, implement, and maintain bioinformatics workflows that process and analyze high-throughput sequencing data while collaborating with multidisciplinary teams to generate actionable public health insights. The Bioinformatician will work under the guidance of senior scientific staff while independently managing assigned analytical projects.


Responsibilities

Essential Job Functions:

The Bioinformatician implements and maintains established bioinformatics workflows, performs routine and specialized genomic analyses, and supports outbreak response and surveillance activities under the guidance of senior staff. This role executes core analytical tasks while contributing to pipeline development and database management. 

  • Bioinformatics Analysis:
    • Develop, implement, maintain, and optimize bioinformatics workflows
    • Perform quality control, assembly, annotation, and analysis of environmental metagenomic sequencing data
    • Analyze whole genome sequencing and metagenomic datasets using established computational methods
    • Develop statistical methods to identify variants and estimate pathogen abundance from sequencing datasets
    • Generate standardized bioinformatics outputs for integration into surveillance platforms
    • Support the validation and testing of bioinformatics workflows and analytical pipelines
  • Data Management & Infrastructure:
    • Manage high-throughput sequencing raw and processed data, databases, and uploads to sequencing repositories
    • Support maintenance and optimization of cloud-based and high-performance computing environments used for bioinformatics analyses
    • Implement quality assurance and quality control procedures throughout bioinformatics workflows.
    • Assist with improving computational performance for high-volume sequencing datasets
  • Wastewater & Environmental Metagenomics: 
    • Implement and execute bioinformatics pipelines for quality control, assembly, and analysis of wastewater and environmental metagenomic sequencing datasets, including preprocessing, taxonomic classification, and abundance estimation
    • Perform assembly and annotation of metagenomic sequences; apply tools such as SPAdes,  Bowtie2, minimap2, prokka/bakta, and related tools for read processing, contig assembly, and gene prediction 
    • Maintains and updates curated environmental metagenomics reference databases organized by source type and organism group (microbial, viral, fungal, eukaryotic) to support detection and characterization workflows
    • Assist with waterborne and environmental outbreak response by processing and analyzing sequencing data from outbreak samples in a timely manner
  • Pathogen Characterization & Source Attribution: 
    • Execute metagenomic source attribution analyses using established pipelines, interpreting results to support public health investigations and preparing summary outputs for review by senior bioinformaticians and program staff 
    • Perform in silicodetection and characterization assays for environmental NGS datasets to assist with diagnostics research and development 
  •  Whole Genome Sequencing – Viral Pathogens: 
    • Perform quality control, reference-based assembly, variant calling, and annotation of viral WGS data (e.g., measles virus) using established workflows; flag anomalies and quality issues for senior review 
    • Support phylogenetic analyses of viral genomes, generating trees and summary statistics using open-source tools under the direction of senior bioinformatics staff
  • Pipeline Execution & Maintenance: 
    • Run and monitor Nextflow pipelines within HPC and cloud computing environments; troubleshoot execution errors and document issues and resolutions 
    • Develops and refines pipeline components, contributing modular scripts and workflow steps that align with established standards
    • Manage high-throughput sequencing raw data and analytic files, including uploads to NCBI and other sequencing repositories, ensuring metadata completeness and accuracy
  •  Scripting & Analysis Support:
    • Write and maintain Python, R, and Bash scripts for data processing, format conversion, and analytical tasks within Linux environments 
    • Performs database queries and routine data management tasks across relational (PostgreSQL, MySQL) and NoSQL (MongoDB) database systems
    • Maintain code using Git/GitHub/GitLab; follow documentation standards established by senior staff 
  • Reporting & SoPs: 
    • Prepare clear, accurate reports and presentations summarizing sequencing analysis results and quality metrics for internal program use 
    • Develops and updates standard operating procedures (SOPs) for bioinformatics analyses across wastewater, environmental, and isolate-based workflows 
    • Support manuscript preparation and data submission for peer-reviewed journals and scientific conferences as directed 
  •  Software Evaluation: 
    • Identify, assess, and qualify software solutions designed to support the execution of bioinformatics workflows and analyses  
    • Conduct structured comparative evaluations of candidate tools, encompassing output quality, feature sets, computational resource utilization, and operational stability, leveraging industry-standard benchmarks and, where appropriate, task-specific performance metrics. Synthesize evaluation findings into clear, actionable summaries and deliver expert recommendations to team members and organizational leadership regarding optimal and alternative strategies  
    • Maintain continuous engagement with the scientific literature to proactively identify emerging methodologies and software tools relevant to bioinformatics operations and communicate pertinent developments and strategic alternatives to team members and leadership in a timely manner 

Qualifications

Necessary Skills and Knowledge:

  • Strong Python programming skills with experience in bioinformatics data analysis
  • Familiarity with database design principles and data management
  • Knowledge of distributed computing and parallel processing concepts is preferred
  • Ability to troubleshoot analytical workflows and resolve computational issues
  • Ability to work independently while collaborating effectively within multidisciplinary teams

Minimum Qualifications:

  • Minimum 2-5 years of related experience
  • Experience implementing and maintaining bioinformatics pipelines
  • Experience working with sequencing data and genomic analyses
  • Experience creating visualizations using Python or R (ggplot2)
  • Experience using Git-based version control systems

Preferred Qualifications:

  • Proficiency in Python, R, and Bash in Linux/HPC environments 
  • Working experience with Nextflow; familiarity with Snakemake or similar workflow managers 
  • Containerization: Docker, Singularity 
  • NGS tools: Bowtie2, SPAdes, minimap2, prokka/bakta, and related open-source bioinformatics tools 
  • Code versioning: Git, GitHub, GitLab 
  • Familiarity with NCBI data submission standards and cloud computing environments 
  • Experience supporting federal government programs, preferably CDC, is preferred

Pay and Benefits
At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Qualifications:

Necessary Skills and Knowledge:

  • Strong Python programming skills with experience in bioinformatics data analysis
  • Familiarity with database design principles and data management
  • Knowledge of distributed computing and parallel processing concepts is preferred
  • Ability to troubleshoot analytical workflows and resolve computational issues
  • Ability to work independently while collaborating effectively within multidisciplinary teams

Minimum Qualifications:

  • Minimum 2-5 years of related experience
  • Experience implementing and maintaining bioinformatics pipelines
  • Experience working with sequencing data and genomic analyses
  • Experience creating visualizations using Python or R (ggplot2)
  • Experience using Git-based version control systems

Preferred Qualifications:

  • Proficiency in Python, R, and Bash in Linux/HPC environments 
  • Working experience with Nextflow; familiarity with Snakemake or similar workflow managers 
  • Containerization: Docker, Singularity 
  • NGS tools: Bowtie2, SPAdes, minimap2, prokka/bakta, and related open-source bioinformatics tools 
  • Code versioning: Git, GitHub, GitLab 
  • Familiarity with NCBI data submission standards and cloud computing environments 
  • Experience supporting federal government programs, preferably CDC, is preferred

Pay and Benefits
At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Education:UNAVAILABLEEmployment Type: FULL_TIME