Welo Data collaborates with technology companies to provide high-quality, ethically sourced, relevant, diverse, and scalable datasets to enhance AI models.
As part of the Welocalize brand, Welo Data utilizes over 25 years of experience and a global community of over 500,000 AI training and domain experts.
The company offers services in annotation and labeling, enhancing LLMs, data collection and generation, and relevance and intent evaluation.
The Operations Solutions Engineer will serve as a bridge between engineering, operations, commercial, and quality teams, designing and delivering solutions to improve processes.
Responsibilities include developing automations and integrations using Python and JavaScript, improving data and workflow quality, and advising both technical and non-technical teams.
The role is ideal for individuals who enjoy problem-solving, coding, and translating complex technical requirements into user-friendly solutions.
Requirements:
A minimum of 2 years of experience in a technical role involving scripting, automations, or system integrations is required.
Strong communication skills are essential, with the ability to simplify complex technical topics for non-technical audiences.
Candidates must demonstrate a proven ability to identify root causes of problems and propose effective technical solutions.
Some experience or familiarity with project management, particularly in technical or cross-functional environments, is preferred.
Experience working with APIs, automation platforms, or cloud tools such as AWS, GCP, or Azure is necessary.
Proficiency in Python and JavaScript is required, while exposure to C#, data pipelines, NLP, or machine learning concepts will be beneficial.
A Bachelor's Degree in Computer Science, Engineering, Math, or a related field, or equivalent work experience is mandatory.
Benefits:
The position offers the opportunity to work with a team that values innovation, autonomy, and impact.
Employees will engage with cutting-edge technology and operations, contributing to the development of scalable tools and systems.
The role provides a chance to solve real problems and enhance the work experience of others through technology.
The company fosters a culture of curiosity and action-oriented problem-solving, making it an exciting environment for those passionate about AI and ML applications.