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Why this grade This listing scored 34/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Role Title: Engineering & Data tools Specialist
Role Type: Contractor
Location: Remote
micro1 is engaging Engineering & Data tools Specialists to contribute expertise to a dynamic customer project focused on engineering and data tooling. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This is an opportunity to work with a diverse tech stack, leverage your cloud and infrastructure knowledge, and provide valuable feedback on industry-leading tools across both engineering and data domains.
Scope of Work
Evaluate and provide insights on the usability and effectiveness of engineering and data tools such as GitHub, Azure, Metabase, and JIRA.
Create comprehensive documentation and feedback reports based on real-world tool usage and best practices in engineering environments.
Design, review, and test workflows integrating cloud solutions (e.g., AWS, Azure, Firebase) and developer productivity platforms (e.g., Linear, Postman, n8n).
Analyze data visualization, monitoring, and CI/CD tools—including Tableau, Datadog, Sentry, and BrowserStack—for integration potential and process improvements.
Contribute to the development of detailed use cases, technical guides, and process documentation for new features and data workflows.
Collaborate closely with project stakeholders via strong written and verbal communication, delivering actionable recommendations and technical insights.
Preferred Qualifications
3+ years direct, hands-on experience with engineering, developer tooling, and cloud infrastructure platforms.
Proficiency with a variety of tools, including GitHub, Postman, AWS, Firebase, Azure, Datadog, Sentry, JIRA, Linear, n8n, Twilio, Databricks, Tableau, Metabase, and BrowserStack.
Exceptional written and verbal communication skills, with a strong focus on clarity and technical accuracy.
Bachelor’s degree in computer science, engineering, data science, or equivalent practical experience.
Demonstrated ability to synthesize complex technical feedback into actionable improvement proposals.
Experience supporting both cloud/infrastructure and developer tooling domains is highly desirable.
Self-driven, detail-oriented, and comfortable working in an independent, remote contributor capacity.
Originally posted on Himalayas
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Where this listing came from
- 02 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.