AI Summary
Gramian Consultancy seeks an experienced Engineering & Data Tools Specialist to evaluate and improve AI system integration with modern technical platforms. The role involves assessing tools across software engineering, cloud infrastructure, and data analysis, designing realistic workflows, and providing structured feedback on AI-generated outputs. Candidates must have 3+ years of hands-on experience with engineering, data, or cloud tools and practical experience with GitHub, Azure, JIRA, and Metabase.
Key Highlights
Freelance contractor with output-based assignment
Approximately 15 hours per week commitment
Global fully remote position
Hourly rate of $40-$80
Focus on evaluating tools for AI system integration
Key Responsibilities
Evaluate engineering and data tools for usability, accuracy, and practical value
Design realistic workflows involving cloud, developer, and analytics platforms
Test integrations across tools such as GitHub, Azure, JIRA, and Metabase
Review workflows involving CI/CD, monitoring, data visualization, and automation
Create technical guides, use cases, and process documentation
Identify workflow gaps, integration issues, and improvement opportunities
Assess AI-generated technical outputs and provide structured feedback
Deliver clear recommendations to project stakeholders
Technical Skills Required
Benefits & Perks
Fully remote - GLOBAL
Hourly rate of $40-$80/h
Nice to Have
AWS
Firebase
Postman
Datadog
Sentry
Linear
n8n
Tableau
Databricks
Twilio
BrowserStack
Job Description
About Us
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role Overview
We are looking for an experienced Engineering & Data Tools Specialist to support a project focused on improving how advanced AI systems understand and work with modern technical platforms.
You will evaluate tools used across software engineering, cloud infrastructure, developer productivity, data analysis, monitoring, and workflow automation. The work includes designing realistic use cases, testing integrations, reviewing AI-generated outputs, and documenting clear recommendations based on practical tool usage. Previous AI experience is not required.
CONTRACT: Freelance contractor, output-based assignment
COMMITMENT: Approximately 15 hours per week, with minimum weekly task submission requirements
LOCATIONS: Fully remote - GLOBAL
PROCESS: : Application review, practical tool assessment, and client evaluation
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Responsibilities
- Evaluate engineering and data tools for usability, accuracy, and practical value.
- Design realistic workflows involving cloud, developer, and analytics platforms.
- Test integrations across tools such as GitHub, Azure, JIRA, and Metabase.
- Review workflows involving CI/CD, monitoring, data visualisation, and automation.
- Create technical guides, use cases, and process documentation.
- Identify workflow gaps, integration issues, and improvement opportunities.
- Assess AI-generated technical outputs and provide structured feedback.
- Deliver clear recommendations to project stakeholders
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- At least 3 years of hands-on experience with engineering, data, or cloud tools.
- Practical experience with GitHub, Azure, JIRA, and Metabase.
- Experience designing or reviewing technical workflows and integrations.
- Ability to document technical processes clearly and accurately
- Experience with tools such as AWS, Firebase, Postman, Datadog, Sentry, Linear, n8n, Tableau, Databricks, Twilio, or BrowserStack.
- Background in software engineering, cloud infrastructure, DevOps, data engineering, or analytics
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