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Remote Data Curation Jobs in Georgia (NOW HIRING)

Senior Machine Learning Engineer

Atlanta, GA ยท Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... data balancing, and data curation pipelines. Knowledge of software engineering best practices ...

You will be responsible for curating relative provider lists for our members who need readily ... This is a remote role. You must reside in Arizona, Florida, Georgia, or Texas. Oscar is a blended ...

New

Responsibilities NV5 is seeking a full-time Project Archaeologist for our Cary, NC office; remote ... undertaking data recovery efforts, etc.). * Conduct artifact analysis and curation efforts.

NV5 is seeking a full-time Project Archaeologist for our Cary, NC office; remote work from a ... undertaking data recovery efforts, etc.). * Conduct artifact analysis and curation efforts.

By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

Remote Data Curation information

What does a data curator do?

A data curator is responsible for organizing, maintaining, and ensuring the quality of data within a database or dataset. They review, clean, and categorize data to make it accessible and useful for analysis, often using tools like spreadsheets or data management software. This role requires attention to detail and knowledge of data standards and best practices.

Do curators make a lot of money?

Remote data curation roles typically offer salaries that are competitive within the data management field, with pay varying based on experience, skills, and industry. Entry-level positions may start lower, while experienced data curators with specialized knowledge can earn higher wages, often supplemented by benefits and flexible schedules.

What is remote data curation?

Remote data curation involves organizing, managing, and maintaining data sets from a remote location, ensuring their accuracy, quality, and usability for various purposes. Data curators work with digital information, often cleaning, annotating, and structuring data to make it more accessible and valuable for organizations or research. This role can include tasks like verifying data integrity, standardizing formats, and documenting metadata, all performed using online tools and collaboration platforms. Remote data curation allows professionals to work from anywhere, supporting projects in fields such as science, business, or technology.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, SQL, and statistical analysis. Many companies offer remote work options, and candidates typically need a relevant degree or certification and proficiency with tools like Excel, Tableau, or Python. Remote roles may also require strong communication skills and self-discipline to manage tasks independently.

What are some common challenges faced in a remote data curation role, and how can they be addressed?

One common challenge in remote data curation is ensuring consistent data quality and integrity across distributed teams. Without in-person collaboration, communication gaps can arise, making it important to use clear documentation practices and regular virtual check-ins. Additionally, remote curators often need to be proactive in seeking clarification and feedback to avoid misinterpretation of data standards. Leveraging collaborative tools and maintaining open communication channels can significantly help in overcoming these hurdles and maintaining workflow efficiency.

What is the difference between Remote Data Curation vs Remote Data Entry?

AspectRemote Data CurationRemote Data Entry
Primary FocusAnalyzing, organizing, and maintaining data quality and relevanceInputting and updating data into systems
Required SkillsData analysis, critical thinking, attention to detailTyping accuracy, basic computer skills
Work EnvironmentCollaborative, often involves research and validationIndividual, repetitive tasks
Common CertificationsData management, database certificationsNone typically required

Remote Data Curation involves managing and improving data quality through analysis and organization, while Remote Data Entry focuses on inputting data accurately into systems. Both roles require attention to detail, but data curation demands analytical skills and a deeper understanding of data relevance, making it more complex and strategic compared to the straightforward nature of data entry tasks.

What are the key skills and qualifications needed to thrive as a Remote Data Curator, and why are they important?

To thrive as a Remote Data Curator, you need strong analytical abilities, attention to detail, and a background in information science, data management, or a related field. Familiarity with database systems, data cleaning tools (such as OpenRefine), and metadata standards is typically required, along with experience using collaborative platforms. Excellent communication, organizational skills, and the ability to work independently are crucial soft skills in this remote role. These skills ensure the accuracy, accessibility, and integrity of large datasets, supporting effective data-driven decision-making for organizations.

How much does a data curator make?

Data curators typically earn between $50,000 and $80,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with specialized skills or certifications can earn higher salaries, especially in tech or research environments.
What cities in Georgia are hiring for Remote Data Curation jobs? Cities in Georgia with the most Remote Data Curation job openings:

Senior Machine Learning Engineer

Career Renew

Atlanta, GA โ€ข Remote

$165K - $225K/yr

Full-time

Posted 9 days ago


Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStainโ„ข and ReStainโ„ข technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictorโ€™s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabsโ€™ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Masterโ€™s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.