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Remote Process Engineer Jobs in New York (NOW HIRING)

Kafka Engineer - Remote

Jersey City, NJ ยท On-site +1

$61 - $80.75/hr

Kafka Admin/Engineer Location: Remote Duration: 6-12 months This person will be responsible for ... Design / Implement Kafka producers/consumers for high-throughput, low-latency data processing in a ...

Data Engineer (Contract) (Remote)

Manhattan, NY ยท Remote

$126K - $151K/yr

Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and ... Implement ETL processes and data warehousing solutions. * Attend meetings, providing pre-sales ...

Remote Senior Support Engineer - MSP

Brooklyn, NY ยท On-site +1

$85K - $100K/yr

This position is fully remote anywhere in the United States. Ready to get off the IT machine and ... Work through the problem-solving process with customers, empowering them to do the same in the ...

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Showing results 1-20

Remote Process Engineer information

See New York salary details

$54.2K

$100.7K

$155.9K

How much do remote process engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for remote process engineer in New York is $100,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $112,700.00 per year, depending on experience, location, and employer.

What does a typical day look like for a Remote Process Engineer and how do they interact with colleagues?

A typical day for a Remote Process Engineer involves analyzing process data, developing optimization strategies, creating technical documentation, and conducting virtual meetings with cross-functional teams such as operations, quality assurance, and project management. Much of the communication is carried out via video conferencing, collaborative project platforms, and email, making it important to be proactive and clear in updates. While working offsite, you'll still be expected to participate in team meetings, report progress, and seek input from on-site staff when needed. This structure enables you to maintain close collaboration and contribute meaningfully to project goals, despite the physical distance.

What are the key skills and qualifications needed to thrive in the Remote Process Engineer position, and why are they important?

A Remote Process Engineer needs a strong background in engineering principles, process optimization, and data analysis, typically supported by a degree in chemical, mechanical, or industrial engineering. Familiarity with process simulation software (like Aspen HYSYS or AutoCAD), Six Sigma or Lean certifications, and experience with remote collaboration tools are usually required. Excellent communication skills, problem-solving abilities, and self-motivation are crucial to excel in a remote setting. These skills and qualities are vital to ensure efficient project execution, effective remote collaboration, and continuous improvement of processes in a distributed work environment.

What is a Remote Process Engineer job?

A Remote Process Engineer is responsible for designing, analyzing, and optimizing manufacturing or business processes while working remotely. They use data analysis, simulations, and process improvement techniques to enhance efficiency, reduce costs, and improve quality. This role often involves collaborating with cross-functional teams through virtual communication tools. Industries such as manufacturing, energy, and technology frequently hire remote process engineers to streamline operations. Strong problem-solving, technical expertise, and communication skills are essential for success in this role.

What are the most commonly searched types of Process Engineer jobs in New York? The most popular types of Process Engineer jobs in New York are:
What cities in New York are hiring for Remote Process Engineer jobs? Cities in New York with the most Remote Process Engineer job openings:
Infographic showing various Remote Process Engineer job openings in New York as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $100,670 per year, or $48.4 per hour.

Machine Learning Engineer in NLP (Contract) - Remote

Cloudacio

Manhattan, NY โ€ข Remote

Contractor

Posted 26 days ago


Job description

About Cloudacio

Cloudacio stands at the forefront of cloud technology, pioneering advanced, AI-driven solutions to revolutionize how businesses leverage the cloud. Our core values revolve around relentless innovation, technical excellence, and a steadfast commitment to delivering cutting-edge cloud services. Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and innovate from anywhere in the world.


Role Overview

As a Machine Learning Engineer specializing in Natural Language Processing (NLP) at Cloudacio, you will develop and refine advanced solutions in language understanding, text generation, and semantic analysis. Working with Large Language Models (LLMs) and the latest NLP technologies, your role will be pivotal in project success and delivering client-focused AI solutions. Proficiency in English is essential for effective communication with clients. Availability for scheduled client meetings and responsiveness on Slack during EST business hours is required.

Key Responsibilities
  • Develop and implement NLP solutions with a focus on LLMs and semantic analysis.
  • Attend client meetings, offering pre-sales support and NLP-focused technical insights.
  • Responsiveness via Slack during EST business hours.
  • Engage in client-facing roles, translating business needs into robust NLP solutions.
  • Collaborate with cross-functional teams to integrate NLP technologies into broader AI solutions.
  • Stay updated with the latest NLP developments, enhancing our offerings continuously. 


Core Skills & Technologies

  • NLP and LLM Expertise: Profound knowledge of NLP and transformer models including LLMs (e.g., GPT-4, Llama-2), RoBERTa, T5, ELECTRA, and BERT.
  • Deep Learning and Frameworks: Strong proficiency in TensorFlow and PyTorch for developing complex NLP models.
  • Data Handling: Skilled in data annotation and preprocessing for large NLP datasets.
  • Cloud Platforms: Familiarity with cloud environments like AWS, Azure, or GCP for deploying and managing NLP solutions.
  • Excellent English communication skills for client-facing roles and technical discussions.
  • Consulting Experience: Previous consulting or startup environment experience.
  • Entrepreneurial Spirit: Ability to independently handle customer interactions and lead projects.


What We Offer

  • Flexible work arrangements to accommodate project needs and personal preferences.
  • Growth potential in a dynamic environment focusing on AI and cloud technologies.
  • A culture that values innovation, communication, and proactive problem-solving.
  • Opportunity to work on innovative projects with significant real-world impact.
Employment Type: CONTRACTOR