We are sharing a specialised remote consulting opportunity for U.K.-based software engineers with experience in COBOL, software engineering, legacy systems, technical evaluation, code review, and structured engineering problem-solving.
This role supports current and upcoming remote consulting opportunities focused on AI-assisted software engineering evaluation, high-quality technical training data, COBOL-related engineering tasks, code reasoning, and structured project execution. Selected professionals will translate real-world software engineering expertise into structured examples, review AI-generated technical outputs, and provide detailed feedback based on practical engineering experience.
Key Responsibilities
Professionals in this role may contribute to:
COBOL Engineering Task Creation & Documentation
- Create structured software engineering tasks involving COBOL, legacy system logic, debugging scenarios, code comprehension, or technical problem-solving
- Document engineering workflows, implementation approaches, code reasoning, and expected solution paths clearly
- Translate real-world software engineering experience into task-based deliverables, technical examples, and structured evaluation materials
- Support work involving legacy codebases, enterprise system logic, data processing workflows, procedural programming, or related software engineering topics depending on project needs
Technical Review & AI Output Evaluation
- Review and refine AI-generated code, technical explanations, debugging steps, software design suggestions, or COBOL-related engineering outputs
- Evaluate outputs for correctness, completeness, maintainability, clarity, and alignment with practical software engineering standards
- Identify inaccurate logic, missing edge cases, weak reasoning, unclear implementation steps, or technically incorrect assumptions
- Validate content against professional software engineering experience, COBOL knowledge, and real-world development practices
Structured Feedback & Quality Control
- Provide clear written feedback explaining engineering reasoning, code behavior, technical tradeoffs, and quality concerns
- Follow detailed task instructions, review rubrics, quality criteria, and project-specific standards accurately
- Review discrete technical deliverables and identify areas for improvement
- Collaborate through remote project workflows to improve AI-assisted software engineering outputs and training data quality
Ideal Profile
Strong candidates may have:
- At least 5 years of full-time software engineering experience
- Professional experience working with COBOL in production, enterprise, legacy systems, modernization, maintenance, debugging, or related engineering contexts
- Work experience at a large technology company, product-led software company, enterprise software environment, or comparable high-quality engineering organization
- Strong ability to reason through code, explain technical decisions, and evaluate engineering outputs clearly
- Experience reviewing code, debugging technical issues, documenting implementation logic, or creating engineering tasks
- Strong attention to detail and ability to identify incorrect assumptions, incomplete reasoning, code-quality issues, or missing requirements
- Comfort reviewing AI-generated software engineering content and applying detailed evaluation criteria
- Excellent written communication skills
- Ability to work independently in a remote, asynchronous, project-based environment
- Current U.K. location
Nice to Have
- Senior-level experience in software engineering, systems programming, legacy modernization, enterprise applications, financial systems, mainframe environments, or large-scale production systems
- Familiarity with COBOL-related tools, mainframe workflows, batch processing, data pipelines, database interactions, or enterprise integration patterns
- Experience creating technical documentation, coding assessments, debugging exercises, training materials, or structured engineering evaluation tasks
- Experience reviewing AI-generated code, rubric-based technical assessments, code explanations, or software engineering benchmark tasks
- Ability to explain complex technical concepts clearly for both specialist and non-specialist audiences
Why This Opportunity
- Apply COBOL and software engineering expertise to structured remote project work
- Contribute to high-quality AI-assisted software engineering evaluation and technical training workflows
- Use practical engineering judgment in a focused review and task-creation environment
- Work on discrete deliverables aligned with software engineering background and subject-matter expertise
- Remote structure with competitive compensation
Contract Details
- Independent contractor role
- Fully remote project-based work
- Candidates should currently be based in the U.K.
- Expected availability is 40 hours per week depending on onboarding status, project scope, and performance
- Work may be structured around discrete software engineering deliverables, technical review tasks, or task-based assignments
- Competitive rates of $120–$150 per hour depending on engineering expertise, task quality, and project scope
- Screening may include resume and work history review, followed by a short technical assessment evaluating engineering expertise
- Weekly payments via Stripe or Wise
- Projects may be extended, shortened, or adjusted depending on scope and performance
- Work will not involve access to confidential or proprietary information from any employer, client, vendor, or institution
- Please note: We are unable to support H1-B or STEM OPT candidates at this time
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .
Vacancy posted 25 days ago
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