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Remote Data Labeling Analyst Jobs in Georgia (NOW HIRING)

Job Title Enterprise Data Architect - Remote Requisition Number R7730 Enterprise Data Architect ... Ensure platforms support high-performance analytics and AI workloads. * Implement lightweight but ...

$84K - $111K/yr

Performs complex data analysis for commercial insurance related to overall business objectives ... Please note we are hiring for this role remote anywhere in the United States with the following ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists and analysts to understand data needs and business goals ... Flexible work environment and remote work options. Join us and be part of a team building ...

Media Analyst - Remote

Atlanta, GA · On-site +1

$60K - $65K/yr

Collect, analyze, and interpret media performance data across digital and traditional media channels.This includes deep dives in to campaign performance to uncover trends, patterns, and optimization ...

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Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists and analysts to understand data needs and business goals ... Flexible work environment and remote work options. Join us and be part of a team building ...

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Data Modeler

Atlanta, GA · On-site

$52.75 - $68.25/hr

Data Modeler Remote Long Term 3-5 years of relevant experience in Data Modelling. JD Below : * Analyzing and translating business needs into long-term solution data models. * Evaluating existing data ...

$42 - $57.75/hr

Job Title Business Solutions Analyst III (Guidewire) - Remote Requisition Number R7695 Business ... Partner with data experts in center of excellence to validate feasibility of proposals. * With ...

We're hiring an Associate, Provider Data Analytics to join our Network Operations team. Oscar is ... This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote ...

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Remote Data Labeling Analyst information

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

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by Remote Data Labeling Analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What does a Remote Data Labeling Analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What are the most commonly searched types of Data Labeling Analyst jobs in Georgia? The most popular types of Data Labeling Analyst jobs in Georgia are:
What cities in Georgia are hiring for Remote Data Labeling Analyst jobs? Cities in Georgia with the most Remote Data Labeling Analyst job openings:
Infographic showing various Remote Data Labeling Analyst job openings in Georgia as of June 2026, with employment types broken down into 2% As Needed, 93% Full Time, 3% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Payments Data Optimization Analyst

Senior Payments Data Optimization Analyst

Optimized Payments

Atlanta, GA • On-site

$82K - $104K/yr

Full-time

Retirement, PTO

Posted 13 days ago


Job description

Who are we?
Optimized Payments is the only fintech firm purpose-built to find and unlock value wherever it resides in our portfolio's payment ecosystem. We've assembled a team with deep expertise across payments specialties to develop a proprietary analytics platform that finds actionable insights. We are an Atlanta based 17-year-old, and growing, company looking for talented individuals who want to grow with us.
Our client portfolio includes Fortune 500 firms such as Apple, Staples, Safeway, Priceline, AutoNation, and the U.S. Postal Service.
Who are you?
Are you a strategic mastermind and part organizational guru looking to join a fintech? Look no further! Optimized Payments is seeking a highly motivated and experienced Senior Payments Data Optimization Analyst to join our growing team.
OP is seeking an innovative and dedicated individual committed to both serving our customers and having fun! Driven, with an entrepreneurial spirit and a heart for fintech. We're looking for someone who wants to make a significant impact on the Company, Clients, and your Career. At Optimized Payments, our people embrace these qualities, so if this sounds like you then please read on!
The Role:
The Senior Payments Data Optimization Analyst serves as the technical business liaison between Optimized Payments' consulting team and internal Data Engineering and Data Science partners. The role focuses on transaction-level data, aggregated data, reporting accuracy, and performance optimization across our client base.
Approximately 75% of the role partners with technical teams on data quality, analytics, and optimization initiatives, with 25% supporting client-facing insights and consulting discussions across platforms such as Fiserv, Chase, Stripe, Adyen, Worldpay, etc.
While this is a hybrid position based in Atlanta, you will have the opportunity to work remote primarily.
Responsibilities:
Data Quality, Normalization & Governance
  • Identify, track, and escalate data discrepancies or integrity issues impacting analytics, KPIs, client reporting, and analysis.
  • Support data normalization efforts of authorization, clearing, settlement, and fee data across multiple processors, gateways, and client data sources.
  • Partner with data engineering teams to define data requirements, schemas, and transformation logic for payment analytics requirements and improve data pipelines.
  • Contribute to and maintain documentation of data definitions, KPI logic, and calculation methodologies.
  • Assist in maintaining consistent reporting standards and governance controls across clients.
  • Validate reporting outputs and ensure alignment between source transaction data and downstream dashboards.
  • Review source-to-target mappings, schemas, and transformations to ensure accuracy of downstream reporting.

Payments Performance & Optimization
  • Analyze transaction, authorization, decline, fee, and network data to identify optimization opportunities for existing clients.
  • Monitor and report on key payments KPIs (e.g., authorization rates, interchange impact, routing performance, fraud indicators).
  • Develop data-driven recommendations to improve payments performance and reduce cost for our clients.
  • Support testing and performance initiatives for clients (e.g., routing strategies, retry logic, tokenization adoption, configuration changes).
  • Quantify impact of optimization initiatives and track performance over time.

Client Support & Insights
  • Prepare client-facing reporting and performance summaries using our proprietary analytics platform.
  • Translate complex payment and operational data into clear, actionable recommendations.
  • Support consulting discussions with analytical context, benchmarking, and scenario modeling.

Cross-Functional Collaboration
  • Partner with Technology, Data Engineering, Product, and Client teams to implement and measure optimization initiatives.
  • Help define business requirements for reporting enhancements and data improvements.
  • Document findings, assumptions, and measurable outcomes of optimization efforts.

Skills and Qualifications:
  • Bachelor's degree in a related field such as Finance, Statistics, Economics, or Computer Science.
  • 3-5 years of experience in payments, analytics, finance, consulting, or related field.
  • Experience with card payments, interchange, authorization strategies, or network data is required.
  • Strong analytical skills and experience working with large datasets.
  • Proficiency in SQL and experience with BI tools (e.g., Tableau, Power BI, Looker).
  • Ability to communicate insights clearly to both technical and non-technical stakeholders.
  • Strong attention to detail and structured problem-solving approach.
  • Knowledge of credit card scheme regulations, disputes, and chargeback processes.
  • Familiarity with payment gateways, processors, or fraud tools, including cross-border and local payment methods.
  • Deep understanding of how these systems interconnect and the resulting impact on credit card payment success.
  • Understanding of A/B testing or performance experimentation frameworks.

What we offer:
For Full-time Optimized Payments employees, we're offering the following benefits and perks
  • Competitive salary and benefits package.
  • Stock Options
  • 401(K) Plan
  • Generous PTO + Paid Holidays
  • Opportunity to be part of a dynamic, fast-growing company that will double in size in two years.
  • Hybrid work environment with flexibility to work from home 3 days a week.
  • A collaborative and inclusive company culture where your ideas are valued.
  • Free onsite covered parking and access to a full gym with showers.

Employment Equity
Optimized Payments strongly supports equal employment opportunity for all applicants regardless of race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, sexual orientation, genetic information, or any other characteristic protected by provincial and/or federal law. Accommodations for candidates with disabilities are available on request during all aspects of the recruitment and selection process. If accommodation is needed during the recruitment and selection process, please contact us and we will work with you to meet your accessibility needs.