WeloData 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 WeloData 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 WeloData.
Welocalize's fastest-growing service line is Welo Data, delivering a variety of AI data services to clients across the globe. We are partnering with customers across diverse industries to help them create, collect, annotate, and QA their training data to optimize AI and machine learning applications. Our AI data services encompass a wide range of solutions, including data generation, labeling, validation, and augmentation, enabling our clients to build, deploy, and improve their AI models effectively.
Main Purpose
The purpose of this Project Manager role is to enable the delivery of high-quality AI data services to our clients, empowering them to harness the full potential of AI and NLP technologies in their operations.
We expect this role to leverage applied experience and knowledge in project management to help develop AI models to engage and collaborate with customers. In our AI Services team, projects are consultative engagements that help our customers launch, improve, or maintain their ML models.
These projects might include:
-Collecting training data and/or testing data for language models for deployment in multilingual conversational AI, search relevance, or other implementations.
-Data Annotation/Labeling to improve discovery/search results, model accuracy for sentiment analysis, sensitive content detection, and named entities.
-Data validation and classification.
-NLP Consulting.
Responsibilities
- Monitor and report on all aspects of project performance – quality, productivity, schedule, and budget.
-Actively monitor production, manage delivery schedules, and ensure compliance with throughput and quality expectations for a portfolio of AI data services projects to one or more clients.
-Proactively manage communications with customers about project status and risks and respond promptly to customer inquiries and escalations.
-Develop and maintain appropriate documentation of project workflows, guidelines, and deliverables.
-Coordinate with internal quality leads, project managers, linguists, and recruiters to ensure seamless project execution.
-Work closely with the quality team to design and implement quality evaluation protocols.
-Document quality issues and implement remediation strategies to ensure all client deliverables meet or exceed criteria for quality, timelines, and budget.
- Coordinate with the solution design team to validate and implement workflows for new service offerings for AI data.
Requirements
-Bachelor's degree in computer science, business, engineering, systems, finance, or a related field or equivalent work experience.
-2+ years' experience in operational roles and/or project management, preferably in an AI services or delivery environment.
-An action-oriented mindset that combines creative problem-solving with the resourcefulness needed to deliver results.
-Strong analytical skills, with a focus on planning and continuous process improvement.
-Effective communication skills, both verbal and written.
