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Data Encoder Jobs in Georgia (NOW HIRING)

Datavant

Profee Coding Consultant - PRN

Atlanta, GA · On-site

$20 - $28/hr

  • Retirement

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... Experience in computerized encoding and abstracting software. * Required to take and pass annual ...

Datavant

Profee Coding Consultant - Full Time

Atlanta, GA · On-site

$20 - $28/hr

  • Retirement

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... Experience in computerized encoding and abstracting software. * Required to take and pass annual ...

Slip Robotics

Robotics Hardware Integration Engineer

Atlanta, GA · On-site +1

$118K - $156K/yr

  • Medical

  • Dental

  • Vision

... that sensor data flows cleanly into the perception and navigation stacks. This is not a pure ... Develop and maintain drivers for sensors (LiDAR, cameras, IMUs, encoders) and actuators (motor ...

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All JobsData Encoder JobsData Encoder Jobs in Georgia

Data Encoder information

See Georgia salary details

$7

$25

$56

How much do data encoder jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data encoder in Georgia is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $9.54 and $47.88 per hour, depending on experience, location, and employer.

What is a data encoder?

A Data Encoder is responsible for inputting, updating, and maintaining accurate data in computer systems or databases. They ensure data integrity by verifying and correcting information as needed. The role often involves handling confidential records, organizing files, and generating reports. Strong attention to detail, typing skills, and familiarity with data management software are essential for this position.

What are the typical daily responsibilities of a data encoder?

A Data Encoder is primarily responsible for accurately inputting and updating information into digital databases or systems, often working with large volumes of data from paper or electronic sources. Typical daily tasks include reviewing documents for errors, verifying data for completeness and accuracy, and organizing files for easy retrieval. Data Encoders may also collaborate closely with other administrative staff or departments to ensure that records remain up-to-date and accessible. In some organizations, they also assist with basic data analysis or generate routine reports to support business operations.

What are the key skills and qualifications needed to thrive in the data encoder position, and why are they important?

To thrive as a Data Encoder, you need excellent attention to detail, fast and accurate typing skills, and a high school diploma or equivalent as a common minimum qualification. Familiarity with data entry software, spreadsheet applications like Microsoft Excel, and sometimes database management systems is typically required. Strong organization, time management, and the ability to work independently or as part of a team are valuable soft skills in this role. These skills are crucial for ensuring the accuracy, reliability, and efficiency of data processing tasks within various industries.

Can I become a data encoder with no experience?

Data encoder positions typically do not require prior experience, as training is often provided on the job. Basic skills in typing, attention to detail, and familiarity with computers or data entry software are helpful for starting in this role.

How much do data encoders typically make?

Data encoders typically earn an hourly wage ranging from $10 to $20, depending on experience, location, and the complexity of the data. Entry-level positions may pay closer to the lower end, while experienced encoders or those with specialized skills can earn higher wages. Many roles also offer part-time or flexible schedules.

Is a data encoder a good job?

A data encoder job involves inputting and updating information into computer systems, often requiring attention to detail and basic computer skills. It can offer steady work with flexible hours, but typically has low to moderate pay and limited advancement opportunities. The role is suitable for those seeking entry-level work in administrative or data management fields.

What are the most commonly searched types of Data Encoder jobs in Georgia?

The most popular types of Data Encoder jobs in Georgia are:

What are popular job titles related to Data Encoder jobs in Georgia?

For Data Encoder jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Encoder jobs in Georgia look for?

The top searched job categories for Data Encoder jobs in Georgia are:

Data Encoder jobs near you
Infographic showing various Data Encoder job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $52,871 per year, or $25.4 per hour.

AI Research Engineer - Representation Learning

Equifax, Inc.

Alpharetta, GA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 25 days ago

Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
We are seeking an AI Research Engineer to develop Transformer-based models for structured and time-series credit risk data, with a strong focus on representation learning and interpretable AI attributes.
Your mission is to help build the foundation for a long-horizon initiative that begins with interpretable feature learning and expands into discriminative and generative modeling. This role is ideal for a scientist who is strong in deep learning fundamentals, curious about how models learn internal representations, and excited to work on the next generation of transformer applications for structured data under senior technical mentorship.
Equifax has a hybrid work schedule that allows for two days of remote work (Monday and Friday) with 3 days onsite (Tuesday thru Thursday) every week.
This role reports to our office Alpharetta, GA or our Midtown (OAC, Atlanta) office.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
This is a direct-hire role and is not open to C2C or vendors.
What you will do
  • Advance Experimental Research: Build and experiment with transformer-based models specifically for structured and credit time-series data, pushing the boundaries of model performance and capability.
  • Analyze Internal Representations: Investigate and interpret learned representations (embeddings, latent spaces, attention patterns) to uncover how the model encodes complex financial concepts.
  • Execute Rigorous Experimentation: Conduct ablations, hyperparameter sweeps, and controlled experiments to validate hypotheses on model behavior and training dynamics.
  • Develop Research Prototypes: Train, evaluate, and debug deep learning models using PyTorch/TensorFlow, creating high-fidelity prototypes that provide the conceptual and architectural blueprint for the engineering team.
  • Collaborate on Integration: Partner with our internal ML Engineering team to ensure your research prototypes are successfully integrated into production pipelines.
  • Drive Strategic Expansion: Work with senior technical leadership to extend our core models beyond interpretability into broader discriminative and generative modeling architectures.
  • Stay at the Vanguard: Maintain deep currency with modern deep learning techniques, including sequence-to-sequence, diffusion models, and generative approaches.

What experience you need
  • Education & Experience: A PhD in ML/AI/CS/EE or a related quantitative field with 3+ years of relevant experience; OR an MS with 5+ years of relevant industry/research experience.
  • Deep Learning Foundations: Strong, demonstrated foundation in Transformer architectures, attention mechanisms, and sequence modeling.
  • Mathematical Maturity: A deep, working knowledge of linear algebra, statistics, and probability-the foundational mathematics required to characterize model behavior, evaluate representation similarity (e.g., Kernel CCA), and derive insights from internal model activations.
  • Representation Learning: Experience analyzing and working with learned representations (latent spaces, embedding analysis, internal model states).
  • Training Intuition: Strong technical intuition for deep learning training dynamics-specifically regarding stability, gradient behavior, and learning rate schedules.
  • Programming Rigor: Ability to write clean, well-structured, and efficient Python code.
  • Soft Skills: Demonstrated curiosity, technical ambition, and a desire to grow your research career under senior technical leadership.

What could set you apart
  • Advanced Modeling: Experience with sequence-to-sequence models, diffusion models, or other generative modeling techniques.
  • Deep Analysis: Experience analyzing or interpreting learned representations through techniques such as probing, attribution, or embedding visualization.
  • Data Complexity: Experience with irregular time-series, missingness handling, or temporal embedding techniques.
  • Mechanistic Interpretability: Familiarity with mechanistic interpretability concepts, such as sparse autoencoders, feature dictionaries, activation analysis, or attention-pattern interpretation.

#LI-AM2
#LI-Hybrid
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta JV White
USA-Atlanta-One-Atlantic-Center
Function:
Function - Data and Analytics
Schedule:
Full time

What Equifax employees say

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Benefits

Hours and flexibility

Workplace

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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