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Machine Learning Contract Remote Jobs in Chester, VA

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Machine Learning Contract Remote information

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How much do machine learning contract remote jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning contract remote in Chester, VA is $39,186.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,900.00 and $42,300.00 per year, depending on experience, location, and employer.

What is a machine learning contract remote job?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What skills and qualifications are needed to thrive as a machine learning contractor in a remote role?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are common challenges faced by remote machine learning contractors, and how can they be addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

What is the difference between Machine Learning Contract Remote vs Data Scientist Contract Remote?

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are popular job titles related to Machine Learning Contract Remote jobs in Chester, VA?

For Machine Learning Contract Remote jobs in Chester, VA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Contract Remote jobs in Chester, VA look for?

The top searched job categories for Machine Learning Contract Remote jobs in Chester, VA are:

What cities near Chester, VA are hiring for Machine Learning Contract Remote jobs?

Cities near Chester, VA with the most Machine Learning Contract Remote job openings:

Senior Manager - Datacenter Operations - Storage, Backup and Recovery Platforms

Genworth Financial

Richmond, VA • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Re-posted 8 days ago


Genworth Financial rating

8.5

Company rating: 8.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

107th of 311 rated insurance


Job description

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care withguidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care-and we bring those experiences with us to work in serving our millions of policyholders each day.

We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism.

Our four values guide our strategy, our decisions, and our interactions:

  • Make it human. We care about the people that make up our customers, colleagues, and communities.
  • Make it about others. We do what's best for our customers and collaborate to drive progress.
  • Make it happen. We work with intention toward a common purpose and forge ways forward together.
  • Make it better.We create fulfilling purpose-driven careers by learning from the world and each other.

POSITION TITLE

Senior Manager - Datacenter Operations - Storage, Backup and Recovery Platforms

This role is not available for Sponsorship.

POSITION LOCATION

Lynchburg, Richmond, Remote

This position is available to Virginia residents as Richmond or Lynchburg, VA hybrid in-office applicants or remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Vermont, Virginia, Washington DC, West Virginia or Wisconsin.

*Hybrid in-office would be required if you reside within 50 miles of our Richmond or Lynchburg, VA office. Required in-office days are Tuesdays, Wednesdays and Thursdays.

YOUR ROLE

Drive the end-to-end management of enterprise storage platforms, data protection solutions, and recovery capabilities across multi-site datacenter environments while Genworth continues to advance a rapidly developing modernization strategy. This leader ensures data durability, availability, and recoverability while advancing next generation protection strategies with a strong understanding of data lifecycle management, financial stewardship, and team leadership. The role balances strategic planning with hands on oversight of storage, backup, and recovery operations, aligning data services with business and regulatory needs.

What you will be doing

Datacenter Operations:

  • Oversee multi-site storage and data protection environments to ensure optimal performance, capacity, and availability of enterprise storage platforms and backup services.
  • Manage the portfolio of storage technologies and backup solutions to meet scalability, resiliency, and retention objectives aligned with enterprise strategy such as NetApp, EMC Isilion, Commvault.

Service Delivery and Reliability:

  • Develop and enforce operational procedures and best practices for storage systems, backup platforms, and recovery processes through a combination of system administrators and support staff.
  • Monitor system health, data integrity, and backup success rates. Implement capacity and retention planning to ensure long term data availability and compliance.
  • Ensure disaster recovery capabilities, backup processes, and business continuity plans are defined, maintained, and regularly tested across all supported environments.
  • Develop reporting for consumption on a regular basis.
  • Enforce strong data protection controls and compliance with internal policies and regulatory requirements across storage and backup environments.
  • Proactively manage risk through encryption, immutability, access controls, and vulnerability remediation.
  • Align data protection practices with enterprise governance, audit standards, and regulatory frameworks (SOC,ISO,NIST).
  • Lead vendor selection, contracts, and relationships for storage infrastructure, backup platforms, and associated managed services.
  • Partner with site and infrastructure leadership during vendor negotiations and ensure partners meet defined service levels, performance expectations, and cost targets.
  • Provide oversight of third-party services and contractors supporting storage and data protection capabilities.
  • Manage budgets for storage and data protection services, including capacity forecasting, cost optimization, and financial reporting.
  • Drive financial transparency through cost allocation and consumption visibility. Identify opportunities to optimize storage utilization, retention policies, and licensing models to improve return on investment.
  • Define and evolve the enterprise data protection strategy, including backup modernization, cyber resiliency, ransomware protection, and recovery orchestration.
  • Partner with senior IT leadership to align storage and data protection capabilities with enterprise modernization roadmaps, ensuring scalable and resilient data services while reducing enterprise risk.
  • Lead and mentor a distributed team, including subordinate managers and technical professionals.
  • Establish clear goals, provide coaching, and build a culture focused on operational excellence and continuous improvement.
  • Ensure cross training and skill development to strengthen organizational capability and resiliency.
  • Promote a high-performance culture aligned with organizational values. Ensure operational procedures are kept up to date and well managed.

What you bring

  • Education and Experience: Bachelor's degree in information technology, Computer Science, or 10+ years in IT Infrastructure roles, with at least 5+ years in management of datacenter operations and managing large scale storage, backup, and recovery environments. Demonstrated experience supporting multi-site datacenter operations.
  • Technical Expertise: Strong understanding of enterprise storage platforms (NetApp), data protection technologies, backup and recovery methodologies (Immutability, Indelibility, air gap), and disaster recovery practices. Experience with data lifecycle management, retention strategies, and data durability solutions in high availability environments. Knowledge of security and compliance requirements related to data protection and recovery services.
  • Financial and Vendor Management: Proven experience managing budgets and optimizing infrastructure costs, including storage consumption and licensing. Demonstrated ability to manage vendors and enforce contractual obligations tied to service delivery and performance.
  • Leadership Skills: Strong leadership and team management capabilities with experience leading technical teams in high availability, mission critical environments. Effective communicator able to translate complex data protection concepts to business stakeholders and influence strategic decisions. Ability to coordinate across infrastructure domains within a shared responsibility model.

Nice to have

  • Advanced degrees or relevant certifications are valued, including ITIL, PMP, or data protection certifications. Experience with large scale data migrations, storage consolidations, or backup modernization initiatives is advantageous. Demonstrated success improving operational efficiency through automation and process maturity.
  • Core Competencies and Leadership Attributes:
  • Strategic Vision and Innovation: Ability to shape and execute data protection and storage strategies that align with business goals and evolving risk landscapes, ensuring the organization's data assets remain protected and accessible.
  • Operational Excellence: Strong analytical and problem-solving skills with a focus on reliability, performance, and risk reduction across storage and recovery operations. Commitment to continuous improvement in service quality and resilience.
  • Influential Leadership: Collaborative leader who builds strong partnerships across teams and stakeholders. Demonstrates accountability, clear communication, and the ability to drive alignment on complex infrastructure initiatives.

ADDITIONAL INFORMATION

National Range: $120,900 - $187,000

High-Cost Range (includes New York): $151,100 - $234,000

Disclaimer: This role is aligned to a national market-based pay range. Actual compensation will vary based on geographic location, experience, skills, and other job-related factors. In addition to base salary, this role is eligible to participate in a bonus incentive plan. Incentive compensation is based on individual and company performance and is not guaranteed.

Employee Benefits & Well-Being

Genworth employees make a difference in people's lives every day. We're committed to making a difference in our employees' lives.

  • Competitive Compensation & Total Rewards Incentives
  • Comprehensive Healthcare Coverage
  • Multiple 401(k) Savings Plan Options
  • Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
  • Generous Paid Time Off - Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave
  • Disability, Life, and Long Term Care Insurance
  • Tuition Reimbursement, Student Loan Repayment and Training & Certification Support
  • Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
  • Caregiver and Mental Health Support Services

What Genworth Financial employees say

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