DevOps Engineer
Odixcity Consulting
Job Summary: We are a detailed-oriented DevOps Engineer Annotator to support the learning, evaluation, and optimization of Artificial Intelligence( AI ) and Large Language Model (LLM) systems focused on DevOps engineering workflows.The DevOps...
Last checked on May 18, 2026. We may earn a commission when you click through.
If you have a knack for AI and enjoy detailed work, this could be a solid pick for you.
DevOps Engineer
Odixcity Consulting
Updated 8 hours agoYou'll be redirected to ng.talent.com
If you have a knack for AI and enjoy detailed work, this could be a solid pick for you.
About this role
Odixcity Consulting specializes in AI and data analytics solutions, focusing on enhancing technological workflows.
About the Company
Odixcity Consulting specializes in innovative tech solutions, focusing on AI and DevOps engineering.
Key Highlights
- ✓ Support the learning and optimization of AI systems
- ✓ Review and annotate workflows in DevOps engineering
- ✓ Engage in data-driven evaluation processes
💡 Honest Take: This job is more about AI systems than traditional DevOps tasks, appealing mainly to those with a tech background.
Pros
- ✓ Focus on cutting-edge AI technologies
- ✓ Opportunity to work on data evaluation
- ✓ Supports the growth of AI in DevOps
Cons
- ✗ Limited clear salary range available
- ✗ Not a traditional DevOps role
- ✗ On-site requirement may limit flexibility
Best For: Best suited for experienced professionals with a passion for AI and data annotation.
Watch Out: This role may not fit those looking for hands-on DevOps engineering tasks.
You'll be redirected to ng.talent.com
What Customers Say
Workers report a focus on innovative projects, but some express concerns over the role's clarity and compensation.
Expert Review
Diving into AI processes can be rewarding, but this position leans heavily on annotation and evaluation. If you enjoy analyzing workflows, you might find it engaging. The company emphasizes attention to detail, which could appeal to meticulous individuals.
That said, it lacks clear salary details, so be prepared for some ambiguity on compensation. The role also isn’t traditional DevOps, so if you’re expecting a lot of system deployments and infrastructure management, you might be disappointed.
Overall, if you're ready to embrace a unique angle on DevOps that centers around AI, this is worth considering. The focus on data-driven tasks can provide valuable experience in a growing field. Check out more on their official page for specifics on the application process.
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