ZipRecruiter

Log In

2

Remote Proof Operator Jobs in Durham, NC (NOW HIRING)

Accenture

SAP Solution Architect - Mid Market

Raleigh, NC · Remote

$80 - $107.75/hr

Remote We Are: Accenture's Commercial Client Success organization helps clients realize measurable ... Develop implementation approaches, operating models, and transformation roadmaps. * Collaborate ...

All JobsProof Operator JobsRemote Proof Operator JobsRemote Proof Operator Jobs in Durham, NC

Remote Proof Operator information

See Durham, NC salary details

$10

$19

$28

How much do remote proof operator jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for remote proof operator in Durham, NC is $19.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $21.35 per hour, depending on experience, location, and employer.

What is a remote proof operator?

Remote Proof Operators are professionals who process and verify financial documents, such as checks and deposit slips, from a remote location. They use specialized software and equipment to ensure the accuracy of financial transactions before they are finalized by banks or financial institutions. Their main responsibilities include reviewing scanned images of documents, balancing transactions, and identifying discrepancies or errors. This role is essential for maintaining the integrity and efficiency of financial operations, especially in institutions that handle high volumes of checks and deposits. Remote Proof Operators typically work from home or off-site locations, providing flexibility while supporting critical back-office functions.

What is the difference between Remote Proof Operator vs Remote Proofreader?

AspectRemote Proof OperatorRemote Proofreader
CredentialsBasic computer skills, attention to detailLanguage proficiency, grammar knowledge
Work EnvironmentRemote, often with specific software toolsRemote, typically using editing software or word processors
Industry UsagePublishing, media, content creationPublishing, editing, content review
Common Search/ComparisonYesYes

The Remote Proof Operator and Remote Proofreader roles both involve reviewing content remotely. The Proof Operator often handles technical aspects of proofing, such as operating software or managing proofing workflows, while the Proofreader focuses on language accuracy, grammar, and style. Both roles require attention to detail and are used across similar industries like publishing and media. Understanding these differences helps job seekers identify the right position based on their skills and interests.

What are the key skills and qualifications needed to thrive as a remote proof operator?

To thrive as a Remote Proof Operator, you need strong attention to detail, fast and accurate data entry skills, and a high school diploma or equivalent. Familiarity with banking software, check imaging systems, and secure data processing platforms is typically required. Excellent time management, self-motivation, and reliability are vital soft skills for excelling in a remote, deadline-driven environment. These abilities ensure accurate transaction processing, regulatory compliance, and the timely handling of sensitive financial information.

What are the main challenges remote proof operators face, and how can they overcome them?

Remote proof operators often encounter challenges such as maintaining high accuracy while processing a large volume of financial documents and adapting to rapidly changing technology platforms. Working remotely also means they need to be proactive in communicating with team members and resolving issues without in-person support. To overcome these challenges, it's important to develop strong attention to detail, stay updated on software tools, and establish clear communication routines with supervisors and colleagues. Many employers provide ongoing training and support channels to help remote proof operators succeed.
What job categories do people searching Remote Proof Operator jobs in Durham, NC look for? The top searched job categories for Remote Proof Operator jobs in Durham, NC are:
Remote Proof Operator jobs near you
Infographic showing various Remote Proof Operator job openings in Durham, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $40,332 per year, or $19.4 per hour.

Senior MLOps Engineer- Remote[Candidates must work PST hours]

OMG Technologies

Raleigh, NC • Remote

$70/hr

Contractor

Posted 13 days ago

Job description

This opportunity is for aSenior MLOps Engineerrole with one of our clients. Please find the job description below.


Position Overview :

Role: Sr MLOps Engineer
Location:Remote[Candidates must work PST hours]
Duration:12+Months
ContractRole
Rate: $60/hr on W2 | $70/hr on C2C


Job Summary

The Sr. Engineer, Machine Learning Operations, with minimal guidance, works independently and with crossfunctional partners-including biostatisticians, bioinformatics scientists, AI scientists, and software engineers-to deploy, operate, and scale machine learning solutions in production for advanced cancer screening and precision oncology applications.The role designs, builds, and maintains robust ML platforms and pipelines that ensure reliability, security, and compliance across the full model lifecycle-from data ingestion, model training, versioning and evaluation, through deployment, monitoring, and continuous improvement. This role serves as a key resource, applying indepth practical knowledge of ML Operations, software engineering, and cloud infrastructure to solve complex problems across multiple projects, ensuring AI/ML models are production-ready, observable,and aligned with the company's mission to help eradicate cancer.

Essential Duties

Include, but are not limited to, the following:

  • Designs, implements, and maintains endtoend MLOps pipelines for training, validation, deployment, and monitoring of ML and AI models used in cancer screening and precision oncology solutions.
  • Builds and operates scalable, secure ML infrastructure on cloud and container platforms (e.g., AWS/Azure/GCP, Docker, Kubernetes) to support batch and realtime inference workloads.
  • Implements CI/CD workflows for ML (data, model, and code), including automated testing, packaging, and promotion of models across development, staging, and production environments.
  • Establishes and manages model and data versioning, experiment tracking, and lineage to ensure reproducibility, auditability, and effective model governance.
  • Develops and maintains monitoring, logging, and alerting for model performance, data quality, drift, and system health, defining and meeting SLOs/SLAs for critical ML services.
  • Collaborates with data scientists, bioinformatics and biostatistics partners, and software/platform engineering teams to translate experimental workflows into productiongrade services integrated into customerfacing and internal applications.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.
  • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
  • Ability to travel 5% of working time away from work location, may include overnight/weekend travel.

Minimum Qualifications

  • Bachelor's Degree in a field related to essential duties; or Associates Degree and 2 years of relevant experience.; or High School Diploma or General Education Degree (GED) and 4 years of relevant experience.
  • 5 years of relevant job-related experience.
  • Demonstrated experience with Python, at least one major ML framework (e.g., TensorFlow, PyTorch, scikitlearn), containerization and orchestration technologies (e.g., Docker, Kubernetes), and a major cloud platform (e.g., AWS, Azure, GCP) supporting ML workloads.
  • Demonstrated ability to perform the essential duties of the position with or without accommodation.
  • Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.

Preferred Qualifications

  • 2+ years of life sciences industry experience working with biological data.
  • 2+ years of industry experience in molecular diagnostics, preferably cancer diagnostics.
  • Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data.
  • Scientific understanding of cancer biology
  • Strong programming ability in Python and experience with at least one major ML framework (e.g., TensorFlow, PyTorch, scikit-learn).
  • Hands-on experience deploying and operating machine learning models in production, including experience with CI/CD pipelines, model packaging, and automated deployment.

Other Job Details

  • Number of Openings:2-3
  • Work Schedule:Must be available to work PST hours
  • Industry Experience:Not required; strong technical expertise is the primary focus
  • Interviews:Video interviews.
  • Docs required:ID proof will be required

Apply