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Remote Data Entry Coding Jobs in Pennsauken, NJ (NOW HIRING)

Gnostech

Software Engineer (US-Remote)

Marlton, NJ · On-site +1

Integrate AI models, data pipelines, and inference services into production systems. * Collaborate ... Maintain code repositories using modern version control and CI/CD pipelines. * Apply secure coding ...

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All JobsData Entry Coding JobsRemote Data Entry Coding JobsRemote Data Entry Coding Jobs in Pennsauken, NJ

Remote Data Entry Coding information

See Pennsauken, NJ salary details

$10

$19

$28

How much do remote data entry coding jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote data entry coding in Pennsauken, NJ is $19.32, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.68 per hour, depending on experience, location, and employer.

What is remote data entry coding?

Remote data entry coding involves entering, updating, and managing data in digital systems from a location outside a traditional office environment. This job typically requires accurately inputting information, such as codes, numbers, or text, into databases or software platforms. Employees often work from home and may handle sensitive data, making attention to detail and confidentiality important. Common industries hiring for these roles include healthcare, finance, and e-commerce. Remote data entry coding jobs usually require basic computer skills, familiarity with relevant software, and reliable internet access.

What are the key skills and qualifications needed to thrive as a remote data entry coding specialist?

To thrive as a Remote Data Entry Coding Specialist, you need strong attention to detail, fast and accurate typing skills, and a solid understanding of data management procedures, often supported by a high school diploma or equivalent. Familiarity with data entry software, spreadsheets (such as Microsoft Excel or Google Sheets), and sometimes basic coding or database management systems is typically required. Excellent organizational skills, self-motivation, and effective time management are crucial soft skills for remote work success. These competencies ensure error-free data processing, maintain data integrity, and support efficient workflow in a remote environment.

What are the most common challenges faced in a remote data entry coding role and how can they be managed?

One of the main challenges in a remote data entry coding position is maintaining high accuracy and attention to detail while working independently. Distractions at home and repetitive tasks can sometimes lead to errors or decreased productivity. Setting up a dedicated, quiet workspace and following a structured daily routine can help minimize mistakes. Additionally, staying connected with team members via regular check-ins and using collaboration tools ensures data consistency and timely communication of any issues.

What is the difference between Remote Data Entry Coding vs Remote Medical Coding?

AspectRemote Data Entry CodingRemote Medical Coding
Required CredentialsBasic data entry skills, sometimes certification in data managementMedical coding certification (e.g., CPC, CCS)
Work EnvironmentHome or office, computer-basedHome or office, computer-based, often in healthcare settings
Industry UsageVarious industries including healthcare, finance, retailPrimarily healthcare industry
Search & Comparison IntentFocus on data entry tasks, less specializedFocus on medical coding, healthcare documentation

Remote Data Entry Coding involves basic data entry tasks across various industries, requiring minimal certifications. Remote Medical Coding is specialized for healthcare, requiring medical coding certifications. While both roles are remote and computer-based, medical coding demands industry-specific knowledge and credentials, making it more specialized than general data entry coding.

Can you get a remote data entry coding job with no experience?

Remote data entry coding jobs often require basic computer skills and attention to detail, but many entry-level positions do not require prior experience. Candidates can improve their chances by learning relevant software, such as spreadsheet or database tools, and demonstrating accuracy and reliability. Some employers may offer training or onboarding for new hires without experience.

Do remote data entry coding jobs really exist?

Remote data entry coding jobs are real positions that involve inputting and coding data from a remote location, often requiring skills in data management and familiarity with specific software or coding systems. These jobs are commonly found in industries like healthcare, finance, and administration, and may require attention to detail and accuracy. They are widely available through various online job platforms and can offer flexible schedules.

What are popular job titles related to Remote Data Entry Coding jobs in Pennsauken, NJ?

For Remote Data Entry Coding jobs in Pennsauken, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Data Entry Coding jobs in Pennsauken, NJ look for?

The top searched job categories for Remote Data Entry Coding jobs in Pennsauken, NJ are:

What cities near Pennsauken, NJ are hiring for Remote Data Entry Coding jobs?

Cities near Pennsauken, NJ with the most Remote Data Entry Coding job openings:

Remote Data Entry Coding jobs near you
Infographic showing various Remote Data Entry Coding job openings in Pennsauken, NJ as of July 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $40,191 per year, or $19.3 per hour.

Software Engineer (Platform)

Oncora Medical

Philadelphia, PA • On-site, Remote

$80/hr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 11 days ago

Job description

Company Description
About us:
Oncora is an oncology software and data company dedicated to helping physicians and scientists collect and use real-world data to improve outcomes for cancer patients. Our machine learning algorithms, which are deployed in active clinical environments, accurately predict oncology outcomes such as unplanned hospitalization, survival, and recurrence. Our software products include: a clinical workflow and data entry system for oncology clinical care, a data warehouse that leverages connections to other healthcare software systems such as EMRs, PACS, to amass real-world, regulatory-grade oncology data, a machine learning platform to train and validate predictive models of key oncology events, a machine learning API to power external software tools, and a virtual clinical trial platform that allows pharma and device companies to leverage automated medical image analysis to advance new technologies in the fight to cure cancer. We work with world-leading cancer centers such as MD Anderson and Northwell Health, global device companies such as Varian Medical Systems, and innovative biopharma companies. Our team is mission-driven to its core.
Job Description
About the role:
We are looking for an experienced engineer to join our mission driven team to help develop our data platform that integrates and transforms multiple imperfect and messy data sources into clean, usable data so that we can learn from every cancer patient.
As a main contributor on our Platform and Integrations team, you will play a vital role in developing and operating our core data platform and helping scale it to serve additional hospitals.
We are a small team trying to tackle a very large problem, so we need teammates that are ultimately accountable to themselves and continuously push themselves, the product and the organization forward.
What you will be doing:
  • Developing pipelines to integrate new data elements into our normalized oncology schema
  • Overseeing and monitoring our existing data infrastructure for stability, performance and accuracy
  • Improving our data warehousing and reporting capabilities to support real-time analysis of tens of thousands of patients representing millions of data points
  • Integrating standard and proprietary ontologies into our data enrichment processes
  • Enhancing our de-identification capabilities to support machine learning and clinical research use-cases
  • Building reusable integrations with major clinical systems (e.g. EMR/EHRs)
  • Deploying updates frequently to immediately improve the state of cancer care
  • Providing constructive feedback to your team members through code and architecture reviews

Qualifications
About you:
  • A solid base of software engineering experience, typically 1-5 years, with at least part of that time in data-focused roles or projects
  • Fluency with a functional or imperative language (we use Python)
  • Experience working with relational and non-relational databases (we use Postgres, MongoDB, Redis, and ElasticSearch)
  • Tendency to seek simple, elegant solutions to complex problems
  • Ability to analyze and optimize existing solutions
  • A focus on writing understandable, testable, and maintainable code
  • Experience working with asynchronous and distributed systems (we use RabbitMQ)
  • Familiarity with modern containerized environments (we use Docker & Kubernetes)

Bonuses:
  • Experience with healthcare data standards and integration is a huge plus (HL7, FHIR, DICOM, etc.)
  • Experience designing data models for analytical and transactional workloads

Additional Information
Compensation, Benefits, and Perks:
  • Salary: $80-120k plus equity compensation
  • 401k, health and dental insurance, flexible vacation policy, paid parental leave
  • eBooks, online courses, workstation setup
  • Events: happy hours, team dinners, conversations with oncologists (will return soon!)
  • You get to work with smart, passionate people on a product that will have a direct impact on the quality of life for cancer patients

What to expect in the hiring process:
  • Introductory phone call with the Head of Operations (30 minutes zoom call)
  • Phone interview with VP of Engineering (60 min zoom call)
  • Virtual onsite, including a pair programming session, engineering team meet, and co-founder meet (90-120 minute zoom call)
  • Final stages, potential follow-up interviews, and offer discussions

Apply