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Part Time Automation Jobs in Virginia (NOW HIRING)

Bechtel

Senior Startup Automation Analyst

Reston, VA · On-site

Telework Type: Part-Time Telework * Work Location: Reston, VA Extraordinary teams building ... Corporate Startup Automation has the responsibility to support all the software tools used by ...

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How much do part time automation jobs pay per year?

As of Jun 9, 2026, the average yearly pay for part time automation in Virginia is $106,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $122,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in part-time automation roles, and how can they be managed?

Professionals in part-time automation roles often face the challenge of balancing project deadlines with limited working hours. This can make it difficult to complete complex automation tasks or respond quickly to issues. To manage these challenges, clear communication with team members and managers is essential, along with setting realistic expectations for deliverables. Leveraging collaborative tools and thorough documentation can also help ensure smooth handoffs and maintain workflow continuity. Staying organized and prioritizing tasks based on urgency and impact can make part-time automation roles both productive and rewarding.

What are the key skills and qualifications needed to thrive as a Part Time Automation Specialist, and why are they important?

To thrive as a Part Time Automation Specialist, you need a background in automation technologies, programming (such as Python or JavaScript), and relevant experience or certifications in automation platforms. Familiarity with tools like UiPath, Automation Anywhere, or Selenium, and knowledge of workflow management systems are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills make someone stand out in this role. These skills ensure efficient automation processes, minimize errors, and support seamless integration within existing systems.

What is a part time automation job?

A part time automation job involves working fewer than full-time hours on tasks related to automating processes, systems, or workflows. This could include writing scripts, maintaining automated systems, or assisting with the implementation of automation tools in various industries such as manufacturing, IT, or business operations. Part time automation roles are ideal for those seeking flexible schedules while utilizing technical skills to improve efficiency. Responsibilities may vary depending on the employer, but often include testing automation solutions, monitoring automated processes, and troubleshooting issues.

What is the difference between Part Time Automation vs Part Time Robotics Technician?

AspectPart Time AutomationPart Time Robotics Technician
CredentialsRelevant certifications in automation systems, PLC programmingCertifications in robotics maintenance, troubleshooting
Work EnvironmentManufacturing plants, industrial settingsRobotics labs, manufacturing facilities
Industry UsageAutomation of processes, machinery controlRobotics system installation and repair
Common Search IntentPart Time Automation vs Part Time Robotics Technician

Part Time Automation focuses on automating industrial processes using control systems and PLCs, while Part Time Robotics Technicians specialize in maintaining and repairing robotic systems. Both roles often overlap in manufacturing environments but differ in specific skill sets and responsibilities.

What are the most commonly searched types of Automation jobs in Virginia? The most popular types of Automation jobs in Virginia are:
What are popular job titles related to Part Time Automation jobs in Virginia? For Part Time Automation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Part Time Automation jobs in Virginia look for? The top searched job categories for Part Time Automation jobs in Virginia are:
Part Time Automation jobs near you
HR Process Automation & AI Specialist

HR Process Automation & AI Specialist

Bechtel

Reston, VA • On-site

Part-time

Posted 12 days ago

Bechtel rating

8.1

Company rating: 8.1 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

123rd of 352 rated engineering

Job description

Requisition ID: 292365
  • Relocation Authorized: None
  • Telework Type: Part-Time Telework
  • Work Location: Reston, VA, Glendale, AZ

Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.
Job Summary:
The HR Process Automation & AI Specialist accelerates productivity, quality, and data driven decision-making across HR by embedding Artificial Intelligence (AI), automation, and advanced analytics into core workflows. Partnering with HR leaders, process owners, EPC functions, various GBUs, and I&D technology teams, this role identifies high-value opportunities, designs scalable and secure AI solutions, and stewards end-to-end delivery-from discovery and proof-of-concept through machine learning operations (MLOps), productionization, monitoring, and continuous improvement. Operating at the intersection of process improvement, AI strategy, data engineering, and responsible AI, the specialist ensures solutions are explainable, auditable, and trusted, improving accuracy, speed, compliance, and employee experience.
This position is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project (Reston, VA or Glendale, AZ). Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership. #LI-KL1
Major Responsibilities:
  • Lead structured discovery to identify, assess, and prioritize HR automation and AI use cases aligned to enterprise productivity goals and priorities; quantify value and risk.
  • Translate HR process needs into clear solution designs (process maps, data flows, model design choices), selecting the right patterns (automation, machine learning, large language models (LLM) with retrieval augmented generation (RAG), fine-tuning vs. grounding) for each use case.
  • Define success metrics, telemetry, and guardrails at the outset (accuracy, bias/fairness, latency, cost, adoption, compliance).
  • Lead full lifecycle delivery: feasibility, proof of concept, pilot, production rollout, and scale-out-coordinating scope, schedule, resources, and change management across HR, IS&T, and the business.
  • Implement LLM solutions with strong prompt engineering, chain-of-thought alternatives (where appropriate), RAG using governed HR data, and hallucination mitigation techniques; optimize for latency and cost.
  • Collaborate with data architects/engineers/AI specialists to ingest and govern HR data (from HRIS/ATS/LMS), build feature pipelines, and enable secure access patterns (e.g., attribute-based access) for AI applications.
  • Establish and maintain CI/CD for ML/AI (experiment tracking, model registry, reproducible training), including automation via tools such as Azure ML, MLflow/Databricks, and GitHub Actions.
  • Define model lifecycle standards (versioning, promotion criteria, rollback, retraining schedules) and automate data and concept drift detection with alerting and SLA/SLO reporting.
  • Implement observability (dashboards for quality, latency, cost, safety events) and incident response runbooks for AI services.
  • Ensure adherence to data privacy, security, and ethical AI principles; operationalize bias testing, disparate-impact assessment, red-teaming, content moderation/guardrails, and human-in-the-loop controls.
  • Partner with Security, Legal, and Compliance to maintain audit trails, model documentation (model cards, datasheets), and evidence for regulatory or customer audits.
  • Design AI/automation solutions for HR use cases (talent acquisition, internal mobility, pay/benefits queries, policy Q&A, case management, knowledge management, workforce planning), with special care for fairness in decisions impacting people.
  • Drive adoption and enablement: build AI literacy materials, conduct training, create usage playbooks, and support change champions within HR.
  • Optimize cost-to-serve (token/compute utilization, throughput, caching, content filters) and performance (latency, resiliency) while meeting quality targets.
  • Track outcome metrics (cycle time reduction, accuracy lift, case deflection, employee/internal customer satisfaction, compliance findings) and publish value realization/return on investment reports/metrics.

Education and Experience Requirements:
  • Bachelor's degree in a technical, analytical, or business-related field (or international equivalent) and 10-13 years of relevant experience; or 14-17 years of relevant work experience. Advanced degree in Data Science/Artificial Intelligence/Machine Learning/Computer Science a plus.
  • Demonstrated delivery in AI, automation, data/descriptive and predictive analytics, digital transformation, and process automation roles combining technical depth with measurable business impact.
  • Experience leading cross-functional, multi-stakeholder initiatives in complex, global environments.

Required Knowledge and Skills:
  • Solid foundation in AI/ML concepts: supervised/unsupervised learning, GenAI/LLMs, natural language processing (NLP), embeddings, vector search, and RAG architectures.
  • Prompt engineering and evaluation (prompt libraries, guardrails, safety filters); understanding of fine-tuning vs. grounding trade-offs and alignment techniques.
  • Model evaluation & monitoring: offline/online metrics, A/B testing, drift detection, bias/fairness testing, and retraining strategies.
  • Experience with MLOps (experiment tracking, model registry, CI/CD, feature stores, reproducibility) and data orchestration (e.g., Azure ML, Databricks, MLflow; pipelines via GitHub Actions/Azure DevOps).
  • Strong data fundamentals: data quality management, feature engineering, labeling/annotation strategies, secure data access, and privacy-preserving techniques.
  • Familiarity with modern cloud and SaaS platforms (e.g., Azure data & AI services), Power Platform/Power Automate, enterprise APIs, and HR systems (SAP SuccessFactors, UKG, ServiceNow HRSD).
  • Proficiency in process improvement methodologies applied to digital/AI-enabled workflows; excellent communication across technical and non-technical audiences.
  • Strong facilitation and influence skills; ability to drive change management and adoption within HR.
  • Working knowledge of enterprise data governance, privacy, security, and ethical AI; ability to create comprehensive documentation (design decisions, model cards, runbooks) to ensure auditability.

Preferred Qualifications
  • Experience building HR-specific AI (e.g., candidate screening assistants grounded in policy, knowledge bots for HR services, attrition/mobility analytics) with bias mitigation and explainability.
  • Hands-on with vector databases and enterprise search (e.g., Azure AI Search), content moderation, and policy enforcement pipelines.
  • Certifications in Azure AI/ML, Data Engineering, or Responsible AI.

Total Rewards/Benefits:
For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards
Diverse teams build the extraordinary:
As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.
Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com

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