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Training Placement Software Engineering Jobs in Boston, MA

Work Experience * 10yearsof industry software engineering experience or equivalent. Working ... These employment decisions extend to hiring, placement, promotion, transfer, demotion, layoff ...

Primary responsibilities include day-to-day, agile software engineering for initial development ... Training & Development * Hybrid Work Schedule * Free Food & Snacks * Wellness Resources * Summer 9 ...

QUALIFICATIONS: * 5+ years of experience in software engineering, with significant experience ... or training. In addition to the base salary, the successful candidate will also receive benefits ...

Showing results 21-40

Training Placement Software Engineering information

See Boston, MA salary details

$21

$53

$78

How much do training placement software engineering jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for training placement software engineering in Boston, MA is $53.86, according to ZipRecruiter salary data. Most workers in this role earn between $42.84 and $66.35 per hour, depending on experience, location, and employer.

What is a training placement software engineering?

A Training Placement Software Engineering job involves assisting students or candidates in acquiring the technical and soft skills required for software engineering roles. It typically includes providing coding exercises, mock interviews, resume building, and job placement support. Professionals in this role may collaborate with hiring companies and training institutions to ensure candidates are job-ready. The goal is to bridge the gap between academic learning and industry requirements, increasing placement success rates.

What does a typical day look like for someone in training placement software engineering?

In a Training Placement Software Engineering role, your day will often involve developing and delivering technical training modules for students or candidates, as well as coordinating with employers to understand and align training with current industry needs. You may spend part of your time facilitating workshops, reviewing resumes or coding projects, and arranging interviews or campus recruitment events. Collaboration with both students and hiring managers is frequent to ensure a smooth placement process and feedback cycle. The dynamic nature of the job provides opportunities to build professional networks, mentor aspiring engineers, and stay updated on evolving software engineering practices.

What are the key skills and qualifications needed to thrive in training placement software engineering?

To excel in a Training Placement Software Engineering role, candidates typically need a solid background in software development, problem-solving, and an understanding of computer science principles, often demonstrated by a relevant degree or technical certification. Familiarity with programming languages (such as Java, Python, or C++), development environments, and knowledge of recruitment or placement management tools are valuable assets. Strong interpersonal, organizational, and communication skills help in coordinating between students, employers, and internal teams. These competencies are essential for successfully preparing candidates for software engineering roles and ensuring effective partnerships between educational institutions and industry employers.

What job categories do people searching Training Placement Software Engineering jobs in Boston, MA look for?

The top searched job categories for Training Placement Software Engineering jobs in Boston, MA are:

Infographic showing various Training Placement Software Engineering job openings in Boston, MA as of August 2026, with employment types broken down into 68% Full Time, and 32% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $112,036 per year, or $53.9 per hour.

AI Software Engineer Expert - Remote

YO AI Labs

Boston, MA • On-site

$83 - $138/hr

Other

Posted 10 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.
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