They are seeking an AI Data Strategy Engineer / Applied Scientist, LLM Data to manage the data strategy and workflows that enhance their multilingual AI systems. The role involves overseeing the ...
They are seeking an AI Data Strategy Engineer / Applied Scientist, LLM Data to manage the data strategy and workflows that enhance their multilingual AI systems. The role involves overseeing the ...
Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI ...
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Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI ...
Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI ...
Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI ...
Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI ...
Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI ...
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Our AI and Data practice sits at the intersection of deep industry knowledge and applied AI and data engineering. We help the world's leading Resources and Utilities organizations reinvent how they ...
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Ai Data Developer information
What is the difference between Ai Data Developer vs Data Scientist?
| Aspect | Ai Data Developer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Science, or related; knowledge of AI frameworks | Bachelor's or higher in CS, Statistics, or related; strong analytical skills |
| Work Environment | Develops AI models, integrates AI solutions into applications | Analyzes data, builds predictive models, interprets data trends |
| Employer & Industry Usage | Tech companies, AI startups, R&D departments | Finance, healthcare, marketing, tech firms |
While both roles involve working with data and AI, Ai Data Developers focus on creating and deploying AI models within applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but differ mainly in their primary focus and application environment.
What are popular job titles related to Ai Data Developer jobs in Kansas? For Ai Data Developer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Ai Data Developer jobs in Kansas look for? The top searched job categories for Ai Data Developer jobs in Kansas are:
What cities in Kansas are hiring for Ai Data Developer jobs? Cities in Kansas with the most Ai Data Developer job openings:
Full-time
Posted 11 days ago
Propio rating
6.3
Based on 8 frontline employees who took The Breakroom Quiz
323rd of 451 rated business services
Job description
Job Summary:
Propio Language Services is a provider of high-quality interpretation, translation, and localization services. They are seeking an AI Data Strategy Engineer / Applied Scientist, LLM Data to manage the data strategy and workflows that enhance their multilingual AI systems. The role involves overseeing the entire AI data lifecycle, from acquisition to evaluation, ensuring the quality and effectiveness of the data used in AI applications.
Responsibilities:
• Define the end-to-end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low-resource languages, and agentic AI workflows.
• Design and build dataset curation pipelines for training, post-training, and evaluation, including cleaning, deduplication, filtering, PII redaction, quality scoring, sampling, balancing, and versioning.
• Create annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multilingual, speech, translation, and agentic AI data.
• Build evaluation datasets and benchmarks, analyze model failure modes, and translate performance gaps into targeted data improvements.
• Support post-training data workflows such as SFT, instruction tuning, preference data, RLHF/DPO-style data, reward model data, and synthetic data generation.
• Use modern annotation tools and AWS-based data infrastructure to scale secure, traceable, and compliant AI data workflows.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Machine Learning, Data Science, Computational Linguistics, Linguistics, Statistics, or a related field, or equivalent practical experience.
• 4+ years of experience in AI data, ML data operations, NLP data engineering, applied ML, speech/translation data, or LLM data workflows.
• Strong hands-on experience with Python, SQL, and dataset curation pipelines.
• Experience with annotation workflows, QA rubrics, evaluation datasets, or human-in-the-loop data processes.
• Familiarity with multilingual NLP, speech data, translation data, low-resource languages, conversational AI, or agentic AI datasets.
• Working knowledge of AWS data and ML tools such as S3, Glue, SageMaker, Bedrock, Lambda, Step Functions, EKS/ECS, IAM, or KMS.
• Strong communication skills and ability to work with ML engineers, applied scientists, product teams, linguists, data teams, and vendors.
Preferred:
• Master’s or PhD in Computer Science, Machine Learning, NLP, Computational Linguistics, Data Science, Statistics, or a related field.
• Experience with LLM post-training workflows such as SFT, instruction tuning, preference data, RLHF, DPO, reward modeling, or evaluation data generation.
• Experience with synthetic data generation, active learning, weak supervision, LLM-as-judge workflows, or automated data quality scoring.
• Experience with modern annotation and data platforms such as Labelbox, Scale AI, Prodigy, Argilla, Snorkel, Humanloop, or custom internal tooling.
Company:
Propio is a mobile platform that provides financial management services for small business owners. Founded in 2022, the company is headquartered in Washington, USA, with a team of 2-10 employees. The company is currently Early Stage.
Propio Language Services is a provider of high-quality interpretation, translation, and localization services. They are seeking an AI Data Strategy Engineer / Applied Scientist, LLM Data to manage the data strategy and workflows that enhance their multilingual AI systems. The role involves overseeing the entire AI data lifecycle, from acquisition to evaluation, ensuring the quality and effectiveness of the data used in AI applications.
Responsibilities:
• Define the end-to-end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low-resource languages, and agentic AI workflows.
• Design and build dataset curation pipelines for training, post-training, and evaluation, including cleaning, deduplication, filtering, PII redaction, quality scoring, sampling, balancing, and versioning.
• Create annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multilingual, speech, translation, and agentic AI data.
• Build evaluation datasets and benchmarks, analyze model failure modes, and translate performance gaps into targeted data improvements.
• Support post-training data workflows such as SFT, instruction tuning, preference data, RLHF/DPO-style data, reward model data, and synthetic data generation.
• Use modern annotation tools and AWS-based data infrastructure to scale secure, traceable, and compliant AI data workflows.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Machine Learning, Data Science, Computational Linguistics, Linguistics, Statistics, or a related field, or equivalent practical experience.
• 4+ years of experience in AI data, ML data operations, NLP data engineering, applied ML, speech/translation data, or LLM data workflows.
• Strong hands-on experience with Python, SQL, and dataset curation pipelines.
• Experience with annotation workflows, QA rubrics, evaluation datasets, or human-in-the-loop data processes.
• Familiarity with multilingual NLP, speech data, translation data, low-resource languages, conversational AI, or agentic AI datasets.
• Working knowledge of AWS data and ML tools such as S3, Glue, SageMaker, Bedrock, Lambda, Step Functions, EKS/ECS, IAM, or KMS.
• Strong communication skills and ability to work with ML engineers, applied scientists, product teams, linguists, data teams, and vendors.
Preferred:
• Master’s or PhD in Computer Science, Machine Learning, NLP, Computational Linguistics, Data Science, Statistics, or a related field.
• Experience with LLM post-training workflows such as SFT, instruction tuning, preference data, RLHF, DPO, reward modeling, or evaluation data generation.
• Experience with synthetic data generation, active learning, weak supervision, LLM-as-judge workflows, or automated data quality scoring.
• Experience with modern annotation and data platforms such as Labelbox, Scale AI, Prodigy, Argilla, Snorkel, Humanloop, or custom internal tooling.
Company:
Propio is a mobile platform that provides financial management services for small business owners. Founded in 2022, the company is headquartered in Washington, USA, with a team of 2-10 employees. The company is currently Early Stage.
About Propio
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
1 - 10 Employees
Headquarters location
Washington, DC, US
Year founded
2022