DevOps Engineer

Posted 11 Days Ago
Be an Early Applicant
Hiring Remotely in Kyiv, Gorod-Geroy Kiyev
In-Office or Remote
Mid level
Artificial Intelligence • Big Data • Information Technology • Machine Learning • Database • Analytics
Data annotation & labeling for Computer Vision, NLP & LLMs. Bringing high quality performance for ML teams & datasets.
The Role
As a DevOps Engineer, you'll maintain Linux servers, automate infrastructure with Ansible, monitor performance, and support CI/CD workflows.
Summary Generated by Built In

At Label Your Data, our infrastructure supports distributed teams, large volumes of data, and AI-driven projects for international clients.

Behind every well-labeled dataset is a system that must be stable, secure, and scalable — and that’s where you come in, joining us in a part-time DevOps Engineer role to help maintain and improve our infrastructure.

💻 What You`ll be doing
  • Maintaining and administering Linux (Ubuntu) servers
  • Automating infrastructure setup and configuration with Ansible
  • Working with Docker (images, containers, networks, volumes)
  • Monitoring system performance and planning resource usage
  • Setting up and maintaining monitoring and alerting (Grafana)
  • Managing backups, recovery processes, and system updates
  • Applying security best practices and handling vulnerabilities
  • Automating routine tasks with scripts
  • Documenting infrastructure and collaborating with development teams to support deployments and CI/CD workflows
🛠️ What We’re Looking For
  • Strong experience with Linux administration (Ubuntu), Ansible and Docker
  • Confident use of Git for managing infrastructure code
  • Understanding of server performance monitoring and resource management
  • Experience with backup and recovery procedures
  • Knowledge of basic infrastructure security practices
  • Experience with monitoring tools (e.g. Grafana)
  • Ability to write scripts (Bash, Python, or similar)
  • Strong Ukrainian language skills and working proficiency in English (at least B1)
➕ Nice to Have
  • Experience with Docker Compose or Kubernetes
  • Experience supporting CI/CD pipelines
🌏 Why Label Your Data
  • Opportunity to work fully remotely;
  • Part-time position: 15-20 hours/week;
  • Competitive compensation in USD;
  • Greenhouse conditions for self-development;
  • Stable, real-world infrastructure used daily by distributed teams;
  • Opportunity to influence how DevOps practices evolve;
  • Direct collaboration with technical teams across our group of companies, enabling shared expertise and aligned infrastructure practices.

🦾 Ready to be part of an innovative team? Apply today and help shape the future of AI data solutions!

*We celebrate diversity and are proud to be an equal opportunity employer.

Top Skills

Ansible
Bash
Docker
Git
Grafana
Linux (Ubuntu)
Python
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The Company
HQ: Wilmington, DE
215 Employees
Year Founded: 2020

What We Do

Label Your Data is a data annotation & labeling company. We offer both data annotation services and the labeling platform.

Since 2020, our team has been helping Computer Vision, Natural Language Processing, and LLM projects. We help Data Scientists and ML Engineers streamline the dataset labeling and focus on model development.

𝗖𝗼𝗿𝗲 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀:
• Image & video annotation: bounding box annotation, OCR, object & action detection, polygon annotation, keypoint annotation, semantic segmentation;
• Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;
• Audio annotation: transcription, sentiment recognition;
• Sensor data annotation, including lidar and point cloud annotation;
• Data labeling;
• Data classification & categorization;
• Data entry;
• Data collection;
• LLM fine-tuning;
• Model validation.

𝗪𝗵𝘆 𝗰𝗵𝗼𝗼𝘀𝗲 𝘂𝘀 𝗮𝘀 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗮𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿:
• 1000+ annotation experts in Europe, LATAM and Africa;
• HQs in North America, EU and Asia;
• 98%+ annotation accuracy benchmark;
• 55 supported languages;
• Data security certified: PCI/DSS, ISO, IEC 27001:2013, HIPAA, GDPR, CCPA;
• 24/7 availability — including weekends, day & night
• Flexible pricing — pay per labeled object or annotation hour
• Tool-agnostic — we work with any annotation tool, including custom setups
• No commitment — witness our high quality performance with a free trial

We bring cross-domain expertise in over 20 industries, including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech, and Insurance.

𝐒𝐞𝐧𝐝 𝐮𝐬 𝐲𝐨𝐮𝐫 𝐝𝐚𝐭𝐚𝐬𝐞𝐭 𝐬𝐚𝐦𝐩𝐥𝐞 𝐭𝐨 𝐭𝐫𝐲 𝐨𝐮𝐫 𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐟𝐨𝐫 𝐟𝐫𝐞𝐞.

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