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Ai Data Translator Jobs (NOW HIRING)

The AI Translator acts as the primary liaison between the business unit and the Central AI / Data Center of Excellence (CoE), ensuring successful implementation, value realization, and sustainable ...

Tamil Translator (Remote) | Sigma AI

$45K - $58K/yr

Sigma is a leading global technology company specializing in data collection and annotation for ... Sigma.AI - Data done right. Department Annotation & Translation Locations United States, United ...

AI Data Scientist-Furman lab

Novato, CA ยท On-site

$60K - $75K/yr

... Scientist / Agentic AI Engineer to join a collaborative research team focused on aging ... translational data science. This position is ideal for a creative, technically outstanding ...

$225K - $255K/yr

... translation quality assessment. Rounding out our portfolio, we offer a library of off-the-shelf ... The VP, Commercial - AI Data Solutions, is accountable for the growth, retention, and strategic ...

Director, AI and Data Science

Watertown, MA ยท On-site

$240K - $255K/yr

You will spend half of your time engaging cross-functional stakeholders, including Translational ... Understanding of AI governance, data privacy, and safe AI practices in regulated industries desired ...

Director, AI and Data Science

Watertown, MA ยท On-site

$240K - $255K/yr

You will spend half of your time engaging cross-functional stakeholders, including Translational ... Understanding of AI governance, data privacy, and safe AI practices in regulated industries desired ...

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Ai Data Translator information

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$27.5K

$57.2K

$87.5K

How much do ai data translator jobs pay per year?

As of Sep 8, 2026, the average yearly pay for ai data translator in the United States is $57,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $57,500.00 per year, depending on experience, location, and employer.

What is an AI Data Translator?

AI Data Translators are professionals who bridge the gap between technical data teams and business stakeholders. They interpret complex data analyses and machine learning outputs, translating them into actionable business insights that non-technical teams can understand and use. These individuals ensure that the work of data scientists aligns with business goals and that data-driven solutions are implemented effectively across organizations. Their role is critical in maximizing the value derived from AI and data initiatives.

How does an AI Data Translator typically bridge communication between technical data teams and business stakeholders?

An AI Data Translator plays a crucial role in ensuring that the insights generated by data scientists and engineers are clearly understood and actionable for business teams. They often interpret complex technical findings, translate them into business-friendly language, and help define project requirements based on organizational goals. This collaboration ensures that AI initiatives align closely with business needs and that stakeholders can make informed decisions. A typical day may involve meetings with both data teams and business units, preparing reports, and facilitating workshops to clarify objectives and expected outcomes.

What are the key skills and qualifications needed to thrive as an AI Data Translator, and why are they important?

To thrive as an AI Data Translator, you need a solid understanding of data analytics, business processes, and AI concepts, often supported by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau or Power BI), data management systems, and sometimes certifications in data science or analytics are typical requirements. Strong communication, problem-solving, and stakeholder management skills enable effective translation between technical teams and business units. These skills are vital for ensuring AI solutions are aligned with business objectives and are easily understood and actionable by non-technical stakeholders.

What are popular job titles related to Ai Data Translator jobs?

For Ai Data Translator jobs, the most frequently searched job titles are:

Infographic showing various Ai Data Translator job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $57,200 per year, or $27.5 per hour.

Jr. AI Data scientist

Waukesha, WI โ€ข On-site

Full-time

Re-posted 23 days ago


Job description

Job Summary:
Datum Technologies Group is looking for a Jr. AI Data Scientist to design and implement intelligent solutions that enhance service documentation workflows. The role focuses on automated proofreading, multilingual translation, and developing a conversational assistant for field engineers using advanced AI technologies.
Responsibilities:
โ€ข Architect AI Solutions
โ€ข Design and implement AI-driven systems for document proofreading, translation, and chatbot development.
โ€ข Define scalable architectures using LLMs, vector databases, and orchestration frameworks.
โ€ข Document Intelligence
โ€ข Build pipelines for grammar and consistency checks across service manuals.
โ€ข Automate detection of missing sections, formatting issues, and terminology mismatches.
โ€ข Translation Automation
โ€ข Develop multilingual translation workflows for structured and unstructured service content.
โ€ข Ensure semantic accuracy and formatting preservation across languages.
โ€ข Conversational AI
โ€ข Create a chatbot for service engineers that can answer technical queries using internal documentation.
โ€ข Integrate RAG pipelines to enhance retrieval accuracy and contextual relevance.
โ€ข Agentic AI Integration
โ€ข Apply agentic AI principles to enable autonomous task execution and decision-making.
โ€ข Implement memory, tool use, and feedback loops for adaptive behavior.
โ€ข Collaboration & Delivery
โ€ข Work closely with delivery leads, product managers, and engineering teams to align on PoC goals.
โ€ข Provide technical leadership and mentorship to junior developers.
Qualifications:
Required:
โ€ข Strong experience with LLMs, NLP, and RAG-based architectures.
โ€ข Proficiency in LangChain, LangGraph, or similar orchestration frameworks.
โ€ข Experience with document AI, translation models, and chatbot development.
โ€ข Familiarity with agentic AI systems and autonomous agents.
โ€ข Excellent communication and stakeholder engagement skills.
Company:
Datum Technologies Group provides technology solutions, managed services, government contracting, and IT staffing services. Founded in 2001, the company is headquartered in Atlanta, USA, with a team of 201-500 employees. The company is currently Growth Stage.