The Pre-Sales Engineer - Data Services will support pre-sales initiatives by designing data solutions, maintaining documentation, and interfacing with customers and internal teams to ensure successful implementation.
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.
MAIN PURPOSE OF JOB
We’re looking for a versatile, hands-on Solutions Architect who thrives at the intersection of strategy and technical execution. In this role, you’ll work with internal teams and prospective clients to shape, scope, and deliver AI data solutions that are both scalable and technically sound. You’ll support pre-sales engagements, architect end-to-end workflows, and contribute to internal tools and process innovation.
This role is ideal for someone who understands the AI/ML data lifecycle and enjoys problem-solving across business, data, and engineering domains.
Main Duties
- Act as the technical voice in pre-sales engagements, translating customer needs into actionable solutions.
- Design and document solution architectures for data collection, annotation, evaluation, and enrichment project.
- Build prototypes or light technical proofs-of-concept to support customer discussions and internal innovation.
- Work with Delivery, Engineering, and Product to ensure seamless implementation and handoff of solutions.
- Evaluate and recommend technical tooling (e.g. annotation platforms, automation tools, QA frameworks).
- Develop and maintain reusable solution templates, documentation, and best practices.
- Participate in RFP/RFI responses by contributing technical input and solution narratives.
- Stay informed on AI data trends, GenAI applications, and customer pain points to shape Welo’s offerings.
Qualifications
- 2+ years in a Solutions Architect, Solutions Engineer, or related role, preferably in data services, AI/ML, or software.
- Strong understanding of data workflows in AI/ML, including annotation, LLM training/evaluation, or content moderation.
- Familiarity with data tooling (e.g., Label Studio, Amazon SageMaker Ground Truth, or similar).
- Comfort with scripting (Python, SQL) and working with structured/unstructured datasets.
- Ability to interface with both technical and non-technical stakeholders.
- Excellent communication skills, clear, concise, and customer-focused.
- Experience with GenAI, RAG pipelines, or LLM evaluation a plus.
Nice to Have
- Experience supporting global data operations at scale.
- Background in linguistics, NLP, or computer vision projects.
- Familiarity with APIs, basic cloud services, or building internal dashboards/tools.
Top Skills
Amazon Sagemaker Ground Truth
Label Studio
Python
SQL
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