2

Remote Cold Forming Tool Design Engineer Jobs in Parlin, NJ

You will design reproducible environments, deterministic verification, and reference solutions for ... Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ...

Hardware Expert - Remote

New York, NY ยท Remote

$50 - $100/hr

Global, Fully Remote Schedule: Flexible, ~15 hours/week Role Summary We are seeking skilled ... Interpret engineering drawings and create accurate 3D CAD models. * Develop complex mechanical ...

Global, Fully Remote Schedule: Flexible, ~15 hours/week Role Summary We are seeking skilled ... Interpret engineering drawings and create accurate 3D CAD models. * Develop complex mechanical ...

AI/ML Software Engineer - Remote

New York, NY ยท Remote

$134K - $176K/yr

You will design reproducible environments, deterministic verification, and reference solutions for ... Ensure tasks accurately measure coding ability, problem-solving, and tool usage. * Document ...

AWS CDK Architect--Remote

New York, NY ยท On-site +1

$70.75 - $93/hr

The ideal architect has a strong background in cloud strategy, infrastructure design, DevOps ... Knowledge of IaC ecosystems (CloudFormation, Terraform) with CDK as primary tool. * Strong ...

Design and solve real-world mechanical and manufacturing engineering problems to test AI reasoning ... Fully remote work environment. * Engagement type: Contractor assignment/freelancer, potentially ...

New

Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering . * Develop ... Experience with multi-agent orchestration , tool use, LangGraph, and LangChain. * Strong knowledge ...

Backend Developer - Remote

New York, NY ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... You will design reproducible environments, deterministic verification, and reference solutions for ...

Showing results 21-40

Remote Cold Forming Tool Design Engineer information

See Parlin, NJ salary details

$55.1K

$93.1K

$137.5K

How much do remote cold forming tool design engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote cold forming tool design engineer in Parlin, NJ is $93,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $106,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Cold Forming Tool Design Engineer vs Remote Die Design Engineer?

AspectRemote Cold Forming Tool Design EngineerRemote Die Design Engineer
Primary FocusDesigning tools for cold forming processesDesigning dies for various manufacturing processes
Required SkillsTool design, materials, cold forming techniquesDie design, CAD, manufacturing methods
Work EnvironmentManufacturing, engineering firms, remote optionsManufacturing, engineering, remote roles
Industry UsageAutomotive, aerospace, fastenersAutomotive, machinery, metalworking

Both roles involve designing components for manufacturing, often requiring CAD skills and industry-specific knowledge. The main difference lies in the focus: Cold Forming Tool Design Engineers specialize in tools for cold forming processes, while Die Design Engineers focus on die components for various manufacturing methods. Both roles are essential in manufacturing sectors and can be performed remotely, depending on the employer.

What job categories do people searching Remote Cold Forming Tool Design Engineer jobs in Parlin, NJ look for?

The top searched job categories for Remote Cold Forming Tool Design Engineer jobs in Parlin, NJ are:

AI Software Engineer - Remote

YO AI Labs

New York, NY โ€ข Remote

$80 - $120/hr

Full-time

Posted 6 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.