... encodes complex financial concepts. * Execute Rigorous Experimentation: Conduct ablations ... Function - Data and Analytics Schedule: Full time
... encodes complex financial concepts. * Execute Rigorous Experimentation: Conduct ablations ... Function - Data and Analytics Schedule: Full time
Online Data Encoder information
See Atlanta, GA salary details
$5.71 - $11.66
12% of jobs
$13.51 is the 25th percentile. Wages below this are outliers.
$11.66 - $17.61
43% of jobs
$17.61 - $23.56
19% of jobs
$24.24 is the 75th percentile. Wages above this are outliers.
$23.56 - $29.51
12% of jobs
$29.51 - $35.46
3% of jobs
$35.46 - $41.41
2% of jobs
$41.41 - $47.36
1% of jobs
$47.36 - $53.31
1% of jobs
$53.31 - $59.26
0% of jobs
$59.26 - $65.21
3% of jobs
$65.21 - $71.16
4% of jobs
$5
$27
$71
How much do online data encoder jobs pay per hour?
As of Jul 15, 2026, the average hourly pay for online data encoder in Atlanta, GA is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $12.61 and $27.84 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Online Data Encoder position, and why are they important?
To thrive as an Online Data Encoder, strong typing skills, attention to detail, and basic computer literacy are essential, often supported by a high school diploma or equivalent. Familiarity with spreadsheet programs (such as Microsoft Excel or Google Sheets), data management systems, and sometimes basic database software is preferred. Reliability, time management, and the ability to maintain focus during repetitive tasks are standout soft skills for this position. These competencies are crucial for ensuring the accuracy, security, and efficiency of data entry operations in a remote or online work environment.
How much is the salary of a data encoder?
The salary of an online data encoder typically ranges from $25,000 to $45,000 per year, depending on experience, location, and the complexity of the data being processed. Entry-level positions may start lower, while experienced encoders with specialized skills can earn higher wages.
Do online data entry jobs really pay?
Online data entry jobs, including roles like data encoder, typically pay hourly or per task rates, with wages varying based on experience, skill level, and the complexity of the work. Many legitimate positions offer fair compensation, but some low-paying or scam jobs exist, so it is important to verify the employer and review payment terms before starting.
Are online encoders legit?
Online data encoder jobs are generally legitimate if offered by reputable companies and do not require upfront payments. However, job seekers should verify the company's credibility and avoid offers that seem suspicious or promise high earnings with little effort.
What is an Online Data Encoder job?
An Online Data Encoder is responsible for inputting, updating, and maintaining digital information in a database or system. This role requires accuracy, speed, and attention to detail to ensure that data is correctly recorded and organized. Encoders often work with spreadsheets, company databases, or specialized software to process large amounts of information efficiently. The job may also involve verifying data for errors and ensuring confidentiality and security of sensitive information.
How to be an online data encoder?
To become an online data encoder, you should have strong typing and data entry skills, attention to detail, and familiarity with data management software or spreadsheets. Many positions require a high school diploma or equivalent, and some may prefer experience with specific tools or certifications in data entry. Consistent accuracy and speed are essential for success in this role.
What types of data will I typically be handling as an Online Data Encoder, and how does this impact my daily responsibilities?
As an Online Data Encoder, you will usually work with a variety of information, including customer records, sales figures, survey responses, or inventory logs, depending on the employer and industry. Your primary responsibility is to accurately input, update, and manage this data in digital databases or spreadsheets, often under set deadlines. You may also be asked to review and verify information for accuracy or help generate periodic reports. The type of data you handle can influence the specific procedures you follow and may require you to learn unique data management software or adhere to confidentiality standards. Being diligent and organized will help ensure data integrity and contribute to the smooth operations of your team.
What are the most commonly searched types of Data Encoder jobs in Atlanta, GA? The most popular types of Data Encoder jobs in Atlanta, GA are:
What are popular job titles related to Online Data Encoder jobs in Atlanta, GA? For Online Data Encoder jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Online Data Encoder jobs in Atlanta, GA look for? The top searched job categories for Online Data Encoder jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Online Data Encoder jobs? Cities near Atlanta, GA with the most Online Data Encoder job openings:
Full-time
Medical, Retirement, PTO
Posted 22 days ago
Equifax rating
7.6
Based on 25 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
What experience you need
What could set you apart
#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
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
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