TL;DR

Field Engineer (AI/Automation): Acts as a technical bridge and advisor to plan, build, and execute complex technical solutions and automations for operational efficiency and quality optimizations in AI model development. Focus on troubleshooting enterprise integrations, creating self-serve solutions, and implementing programmatic quality checks to improve data consistency and accuracy.

Location: Remote (Spain / Mexico)

Company

%hirify_global%, under its Welo Data brand, partners with technology companies for high-quality, ethically sourced, and scalable datasets to supercharge AI models.

What you will do

Serve as a technical bridge and advisor between quality, operations, sales, and engineering teams for smooth collaboration.
Troubleshoot and optimize enterprise integrations to ensure seamless data exchange.
Plan and execute complex technical solutions supporting customer and internal team success and reducing manual work.
Consult with customers and internal teams on best practices for platform use, automation, and data quality.
Create self-serve solutions empowering internal teams to handle common technical tasks independently.
Design and implement programmatic quality checks to improve data consistency and accuracy.

Requirements

2+ years of engineering experience, ideally in a client-facing setting.
Bachelor's degree with an engineering or analytics focused field (e.g., Computer Science, Engineering, Mathematics, Statistics) or equivalent work experience.
Hands-on experience in ML lifecycle applications, data management, and data wrangling.
Technical experience in Python, JavaScript, or another relevant language for automations, integrations, and scripting.
Experience working with APIs, data pipelines, and automation frameworks.
Passion for AI and ML technologies, with a history of exploring new concepts and techniques.

Nice to have

Experience with cloud platforms (AWS, GCP, or Azure) and data processing tools.
Experience with C#.
Understanding of NLP concepts and techniques.

Culture & Benefits

Practical, applied AI expertise to projects, leveraging strong academic experience and deep working knowledge of state-of-the-art AI tools.
Join a curated global community of over 500,000 AI training and domain experts.
Focus on customer success mindset, helping internal teams and customers succeed.
Opportunity to learn and adapt to new technologies and challenges in AI and ML.

Hiring process

AI tools may be used to support parts of the hiring process, such as reviewing applications and resumes, but human judgment makes final hiring decisions.

Field Engineer (AI)