Operations Solutions Engineer

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span: ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling. ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking. DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection. RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output. Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data. ROLE OVERVIEW We are looking for a technically-minded and communicative Operations Solution Engineer to join our team. You will be the bridge between engineering, operations, commercial and quality, helping design and deliver great solutions that make our processes smarter, faster, and more scalable. In this role, you'll develop automations and integrations using Python and Javascript, improve data and workflow quality, and act as an advisor for both technical and non-technical teams. This is an ideal opportunity for someone who enjoys solving problems, writing code, and translating complex tech requirements into user-friendly solutions. MAIN RESPONSIBILITIES - Act as a technical advisor and liaison between engineering, operations, and customer-facing teams. - Design and build technical solutions, including internal tools, scripts, and automations, with Python and JavaScript. - Collaborate with both highly technical stakeholders and non-technical users to identify pain points and translate them into actionable engineering tasks. - Troubleshoot and optimize platform integrations and ensure smooth data flows. - Build scalable, self-serve solutions for common workflows to reduce manual overhead. - Proactively identify issues, propose solutions, and lead small projects to implement them end to end. - Contribute to data quality and consistency through programmatic checks and thoughtful system design. JOB REQUIREMENTS - 2+ years of experience in a technical role involving scripting, automations, or system integrations. - Strong communication skills, with the ability to simplify complex technical topics for non-technical audiences. - Proven ability to identify root causes of problems and propose effective technical solutions. - Some experience or familiarity with project management, especially in technical or cross-functional environments. - Experience working with APIs, automation platforms, or cloud tools (AWS, GCP, or Azure). - Proficiency in Python and JavaScript. - Exposure to C#. data pipelines, NLP, or machine learning concepts will be very beneficial. - Bachelor's Degree in Computer Science, Engineering, Math, or a related field, or equivalent work experience. YOU SHOULD BE: - A natural problem solver who is both curious and action-oriented. - Comfortable balancing coding, stakeholder engagement, and solution design. - Passionate about improving operations and building tech that scales. - Interested in the intersection of AI, ML, and real-world applications. You will work with a team that values innovation, autonomy, and impact. We work at the cutting edge of technology and operations, and we're looking for someone who is excited to build tools and systems that scale, solve real problems, and make people's work better. If you like writing code, simplifying complexity and connecting the dots between people and technology, click apply below.