ZipRecruiter

Log In

2

Remote Lathe Machine Operator Jobs in Needham, MA

FORT Robotics

Account Executive, USA

Boston, MA · Remote

Additionally, FORT's Safe Remote Control enables operators to manage heavy machinery remotely, reducing the risk of accidents and improving visibility. By ensuring communications integrity across any ...

next page

Showing results 1-20

All JobsLathe Machine Operator JobsRemote Lathe Machine Operator JobsRemote Lathe Machine Operator Jobs in Needham, MA

Remote Lathe Machine Operator information

See Needham, MA salary details

$14

$23

$31

How much do remote lathe machine operator jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for remote lathe machine operator in Needham, MA is $24.00, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $27.21 per hour, depending on experience, location, and employer.

Is CNC in high demand?

CNC (Computer Numerical Control) machine operators, including those working with lathes, are in high demand due to the manufacturing industry's need for precision machining. Skilled operators with knowledge of CNC programming and setup are especially sought after as automation increases productivity and quality standards.

What are the key skills and qualifications needed to thrive as a Remote Lathe Machine Operator, and why are they important?

To thrive as a Remote Lathe Machine Operator, you need a solid understanding of machining principles, blueprint reading, and CNC programming, often supported by vocational training or certification. Proficiency in using CNC control software, remote monitoring systems, and digital communication tools is typically required. Attention to detail, problem-solving abilities, and strong self-motivation are essential soft skills for maintaining quality and productivity from a distance. These skills ensure efficient, precise, and safe machine operation while collaborating remotely with a manufacturing team.

What are Remote Lathe Machine Operators?

Remote Lathe Machine Operators are skilled professionals who control and monitor lathe machines from a distance using computer interfaces or remote-control systems. They use specialized software to operate machinery, set parameters, and oversee production processes without being physically present on the factory floor. This role is essential for increasing safety, efficiency, and flexibility in manufacturing environments, especially in settings where automation and remote operations are prioritized. Remote operators must have a strong understanding of machining processes, technical troubleshooting, and digital control systems.

What is the difference between Remote Lathe Machine Operator vs CNC Machinist?

AspectRemote Lathe Machine OperatorCNC Machinist
CredentialsHigh school diploma, on-the-job trainingHigh school diploma, technical certification or diploma
Work EnvironmentRemote or on-site machine operation, manufacturing facilitiesManufacturing shops, machine shops, factories
Industry UsageManufacturing, metalworking, aerospaceManufacturing, metalworking, aerospace, automotive
Job FocusOperating lathe machines, setting up basic operationsProgramming, setting up, and operating CNC machines

While both Remote Lathe Machine Operators and CNC Machinists work in manufacturing environments and require knowledge of machine operation, CNC Machinists typically have more technical training in programming and setup. Remote Lathe Machine Operators focus on operating lathe machines, often with less emphasis on programming, making their roles complementary but distinct within manufacturing processes.

What is the highest paying machine operator job?

The highest paying machine operator jobs are often in specialized fields such as CNC (Computer Numerical Control) machine operators or those working in industries like aerospace or oil and gas. These roles typically require advanced skills, certifications, and experience, and can offer higher salaries compared to standard machine operator positions.

What are some common challenges faced by remote lathe machine operators and how can they be addressed?

Remote lathe machine operators often face challenges such as maintaining clear communication with on-site teams, troubleshooting machine issues from a distance, and ensuring consistent product quality. To address these, operators should utilize reliable remote monitoring tools, establish regular check-ins with team members, and stay updated on software and hardware best practices. Developing strong problem-solving skills and being proactive about preventive maintenance can also help ensure smooth operations and minimize downtime.

Can a CNC machinist make 100k a year?

A CNC machinist can potentially earn $100,000 annually with advanced skills, experience, and working in high-demand industries or locations. Achieving this salary often requires proficiency with CNC programming, certifications, and overtime or shift work. Salary levels vary based on geographic region, employer, and individual expertise.

What is the career outlook for lathe operators?

The career outlook for lathe machine operators is generally stable, with employment expected to grow as manufacturing and metalworking industries continue to require precision machining. Opportunities may be influenced by technological advancements such as CNC machines, which can require additional skills but also create demand for operators skilled in both traditional and automated equipment.
What job categories do people searching Remote Lathe Machine Operator jobs in Needham, MA look for? The top searched job categories for Remote Lathe Machine Operator jobs in Needham, MA are:
Remote Lathe Machine Operator jobs near you
Staff/Senior Machine Learning Engineer, Clinical AI

Staff/Senior Machine Learning Engineer, Clinical AI

Tempus

Boston, MA • On-site, Remote

$170K - $230K/yr

Full-time

Posted 11 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We're seeking a highly skilled and innovative Staff/Senior Machine Learning Engineer to join our Clinical AI Team. As a Staff/Senior Machine Learning Engineer, you'll play a crucial role in leveraging and deploying cutting-edge natural language processing models and LLMs specifically tailored for healthcare applications at scale. Your work will contribute to optimizing clinical workflows, improving clinical trial matching, and advancing medical research. This position offers an exciting opportunity to leverage the power of natural language processing and LLMs to revolutionize healthcare and make a significant impact on people's lives.

What You Will Do:

  • Build and operate production AI pipelines: LLM-powered extraction, batch orchestration, and inference, with a focus on reliability, cost, and latency

  • Design and maintain Airflow-based orchestration for batch clinical workflows

  • Build the observability (metrics, logging, alerting) that catches regressions before they reach downstream consumers

  • Build and maintain eval infrastructure that measures clinical model output quality continuously: regression detection, drift, gold-set management, dashboards

  • Ship platform tooling and SDKs that accelerate Machine Learning Scientists and downstream consumers

  • Partner with Machine Learning Scientists to debug bad model outputs to root cause (data, prompt, or pipeline)

  • Participate in the pod's on-call rotation

  • Collaborate with platform / infrastructure teams to leverage GCP services for performance, security, and cost-efficiency

  • Author and review design docs for cross-pod work

  • Raise the engineering bar through code review and design review

Required Qualifications:

  • Strong command of Python in production environments

  • Experience designing, building, and integrating with microservices in production

  • Deployed data orchestration workflows in production (Airflow or equivalent)

  • Worked on cloud-native services (GCP preferred but not required)

  • Built monitoring, observability, and alerting for production systems

  • Hands-on experience with at least one major ML framework - we primarily use LangGraph; PyTorch, spaCy, or equivalents are equally welcome

  • Strong written and verbal communication, including experience authoring and reviewing design docs (RFCs, PRDs, or equivalent); partners well with research scientists, PMs, and clinicians

Preferred Qualifications:

  • Operated production systems hands-on - on-call rotations, incident response, postmortems

  • Experience building eval / quality measurement systems for ML or LLM outputs

  • Hands-on production LLM application experience (prompts, agents, RAG, LLM evals, extraction pipelines)

  • Built internal platforms or SDKs that other engineers / scientists depended on

  • Experience working with clinical or biomedical data (EHR, genomics, pathology, clinical notes)

  • Contributions to relevant open-source projects

#LI-BL1

New York Pay Range - $170,000-$230,000USD

California Pay Range - $170,000-$230,000USD

Illinois Pay Range - $150,000-$210,000USD

Remote - USA Range - $150,000-$210,000USD

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Apply