2

Remote Encoding Jobs in Ford Heights, IL (NOW HIRING)

Senior Software Engineer - Semantic Data Lake

Chicago, IL ยท Remote

$126K - $166K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... You'll implement rich transformation logic, encode business rules, and ensure data consistency ...

Coder II - Inpatient Coder

Munster, IN ยท Remote

$21.25 - $25.50/hr

Remote Position Hours: M-F, Flexible hours after training period. Sign-on Bonus The Coder II - ... in the EMR via the encoder and in compliance with accuracy and productivity requirements.

Technical Art Director

Chicago, IL ยท On-site +1

$127K - $147K/yr

Chicago, IL (or remote for extremely well-qualified candidates) Office : 3 days/week in South Loop ... Your job is to define what "good" looks like, then encode that standard into tooling that governs ...

Remote Encoding information

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

AspectRemote EncodingRemote Data Entry
Primary TasksConverting information into digital formats, such as typing or data inputInputting data into systems, often from physical or digital sources
Required SkillsTyping speed, accuracy, familiarity with encoding softwareAttention to detail, fast typing, basic computer skills
Work EnvironmentHome or remote office, often with specialized softwareHome or remote, typically using standard data entry platforms
Common IndustriesPublishing, transcription, data processingHealthcare, finance, administrative support

Remote Encoding focuses on converting information into digital formats, often requiring specialized software and high accuracy. Remote Data Entry involves inputting data into systems, usually from physical or digital sources, with an emphasis on speed and precision. While both roles are remote and involve data handling, encoding emphasizes data conversion, whereas data entry centers on data input tasks.

How can I make 2000 a week working from home?

Remote encoding jobs typically pay per task or project, and earning $2000 weekly requires consistent high-volume work, efficient time management, and strong attention to detail. Building a reputation for accuracy and speed, along with skills in data entry and familiarity with relevant tools, can help increase earnings, but achieving this level consistently may require multiple clients or a high workload.

Is the encoding job legit?

Remote encoding jobs are common in data entry and transcription fields, often involving converting information into digital formats using basic computer skills. While many are legitimate, some scams exist, so it is important to verify the employer's credibility and avoid jobs that require upfront payments or promise unusually high pay for minimal work.

What job makes $10,000 a month without a degree?

Remote encoding jobs, such as transcription or data entry roles, can sometimes pay up to $10,000 a month for experienced workers, especially those with specialized skills or high-volume workloads. Success in these roles depends on efficiency, accuracy, and the ability to work independently, often without formal degrees but with strong attention to detail and familiarity with relevant software tools.

How to make 1000 a week remote?

Remote encoding jobs can generate $1,000 or more weekly by working consistently, improving speed and accuracy, and taking on multiple projects or clients. Building a strong portfolio, gaining relevant skills, and using freelance platforms can help increase earnings. Earning this amount typically requires full-time commitment and efficient workflow management.

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

To thrive as a Remote Medical Coder, you need strong knowledge of medical terminology, anatomy, and coding systems such as ICD-10-CM, CPT, and HCPCS, usually validated by certification (e.g., CPC, CCS). Familiarity with electronic health record (EHR) systems and specialized coding software is essential for accurate data entry and information retrieval. Attention to detail, self-motivation, and excellent time management are crucial soft skills for managing independent workflows and meeting productivity goals. These skills and qualities ensure precise coding, regulatory compliance, and efficient healthcare reimbursement processes in a remote work environment.

What are some common challenges faced by employees in a remote encoding role, and how can they be addressed?

One of the main challenges in a remote encoding position is maintaining accuracy and attention to detail while working independently. Distractions at home and the repetitive nature of the work can sometimes lead to errors or decreased productivity. To address these issues, it's important to create a dedicated, quiet workspace, set a structured work schedule, and take regular breaks to maintain focus. Many teams also use collaborative tools and regular check-ins to stay connected and ensure data quality standards are met.

What is a remote encoding job?

A remote encoding job typically involves converting information from one format to another, such as transforming handwritten or printed data into digital form. These jobs are often found in industries like healthcare, where remote medical coders or data entry specialists encode patient information for billing and records. Working remotely means these tasks are performed from home or another location, using a computer and secure internet connection. Remote encoding positions require attention to detail, accuracy, and sometimes knowledge of specialized coding systems, depending on the field.
What cities near Ford Heights, IL are hiring for Remote Encoding jobs? Cities near Ford Heights, IL with the most Remote Encoding job openings:

Staff Software Engineer | Semantic Data Lake

eNett

Chicago, IL โ€ข Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; San Francisco Bay Area, CA; and Seattle/WA.

About the Team/Role

WEX is reimagining its enterprise data platform with a powerful goal: transforming raw data into semantically meaningful, reusable, and trusted business assets. As a Staff Software Engineer on the Semantic Data Lake Team, you'll play a critical role in designing, building, and maintaining our core 360 data objects-such as Customer360, Fleet360, and Provider360.

These wide, entity-based tables are foundational to our analytics, AI, and product platforms. You'll implement rich transformation logic, encode business rules, and ensure data consistency across domains, making our data models both technically scalable and business-ready.

This team is at the heart of WEX's DaaS platform-bridging raw data with meaningful business insights. You'll help define and deliver the semantic backbone of our products, analytics, and machine learning systems.

We're looking for an AI-native engineer: someone who builds with modern AI coding tools (Claude, Copilot, Cursor, and similar) and Spec-Driven Development (SDD) as a core part of their daily workflow, not an occasional add-on. You'll use these tools to accelerate design, generate and refactor transformation logic, write tests, document semantics, and explore data-while applying the engineering judgment needed to ship production-grade, trustworthy data assets.

If you're excited about building semantic models that carry real-world meaning, scale to billions of records, and unify how a business understands its world-and doing it with the leverage of modern AI tooling-this is your next big move.

How you'll make an impact
  • Design and implement semantically consistent, scalable 360 data models that integrate data across domains.

  • Build and maintain transformation pipelines that apply cleansing, standardization, enrichment, and derived logic to domain datasets.

  • Write production-quality, testable code in SQL and Python (or equivalent)-delivering performant and maintainable data assets.

  • Leverage AI coding assistants (Claude, Copilot, Cursor, and similar) to accelerate development-drafting transformation logic, generating tests, refactoring pipelines, exploring datasets, and producing semantic documentation-while critically reviewing AI output for correctness, performance, and alignment with business rules.

  • Develop and share patterns, prompts, and workflows that help the team get more leverage out of AI tooling, raising the bar for AI-native engineering practices across the Semantic Data Team.

  • Work closely with domain experts, data scientists, and product stakeholders to translate business concepts into interpretable, decision-ready data models.

  • Implement logic for classifications, KPIs, scoring algorithms, and business rules, ensuring traceability and data lineage.

  • Help define and enforce standards for data modeling, documentation, and governance within the semantic layer-including standards for responsible, auditable use of AI-generated code and artifacts.

  • Collaborate across teams to integrate with ingestion, MDM, and data product layers, and explore opportunities to expose 360 objects to LLM-powered and agentic applications.

Experience you'll bring
  • 8+ years of experience in data engineering or software engineering with a focus on data transformation, modeling, or analytics platforms.

  • Strong proficiency in SQL and at least one general-purpose language such as Python or Scala.

  • Demonstrated experience as an AI-native engineer-using tools like Claude, GitHub Copilot, Cursor, or similar as part of your everyday development workflow, with a clear point of view on where they accelerate your work and where human judgment is essential.

  • Comfort with modern AI engineering practices such as prompt design, context engineering, Spec-Driven Development (SDD), AI-assisted code review, and integrating LLMs or AI agents into engineering or data workflows.

  • Experience building and scaling wide, entity-based tables and modeling domain concepts (e.g., customer, fleet, provider) into durable data objects.

  • Solid understanding of data quality practices-including validation, enrichment, schema enforcement, and business rule encoding.

  • Experience working with large-scale datasets and optimizing transformation pipelines for performance and maintainability.

  • Comfort operating in a collaborative, cross-functional environment, balancing business logic with platform scalability.

  • A mindset for traceability, reproducibility, and semantic clarity-you build data models others (humans and AI systems alike) can trust and reuse.

Bachelor's degree in Computer Science, Software Engineering, or related field. A Master's or PhD in Data Science, Machine Learning, Artificial Intelligence, Computer Science, or Statistics is a big plus.

    The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $140,600.00 - $173,100.00