AI Researcher (Internship)

AI Researcher (Part-Time, PhD Student, early-career researcher)
Location:Remote, with conference travel (U.S. or Europe preferred)
Engagement Type: Internship
Department:TECH / R&D
About DATAmundi
DATAmundi builds advanced software solutions that power our localization and data services. We support AI companies and research teams by delivering high-quality datasets, validation workflows, and scalable data processing. Our R&D initiatives explore how modern AI systems — including LLMs, speech models, and multimodal systems — can be evaluated, improved, and safely deployed through structured data and validation methodologies.
We are expanding our R&D activities and seeking researchers to collaborate on applied research and technical outreach within the AI ecosystem.
Role Overview
DATAmundi is seeking a part-time AI Researcher (PhD student, doctoral candidate, or early-career researcher) in areas such as Agentic AI, Machine Learning, Natural Language Processing, or Speech Technologies.
The researcher will report directly to our CTO and contribute to internal research initiatives, co-author technical papers, and help prototype research systems related to machine translation, data validation, evaluation methodologies, and AI model performance. The role also includes technical communication activities such as writing educational technical content and participating in academic and industry conferences.
This position combines applied research, engineering experimentation, and academic engagement with the broader AI research community.
Key Responsibilities:
Research & R&D Contribution
Conduct applied research related to AI model evaluation, data quality, and validation methodologies

Co-author research papers, technical reports, and whitepapers

Implement research prototypes and experimental systems

Support internal R&D initiatives in areas such asAgentic AI systems, LLM evaluation and validation, Speech and multimodal model assessment, Data-centric AI methodologies

Collaborate with the engineering team to translate research ideas into practical workflows

Research System Implementation
Develop experimental code and proof-of-concept implementations

Work with datasets used for training, evaluation, and benchmarking

Design experiments and analyze results

Document methodologies and experimental findings

Technical Writing & Knowledge Sharing
Write technical blog articles explaining recent advances in AI and ML

Translate complex research topics into accessible technical content

Support marketing and communications teams with technically accurate material

Contribute educational materials and technical explainers

Conference Participation & Outreach
Attend academic and industry conferences

Engage with researchers from AI companies and academia

Discuss research topics, evaluation challenges, and data requirements

Identify opportunities for collaboration related to dataset needs and model evaluation

Maintain professional follow-up communication after conferences

Required Qualifications
Current PhD student, doctoral candidate, or recent graduate in:

Machine Learning/Artificial Intelligence/Natural Language Processing/Speech Processing/Computer Science or related field

Strong understanding of modern AI models (LLMs, speech models, or multimodal systems)

Experience implementing research code in Python

Familiarity with common ML frameworks

Ability to read and understand academic papers

Strong written English skills

Interest in applied research and real-world deployment challenges

Desired Skills / Experience
Research experience in Agentic AI, LLM evaluation, or model alignment

Experience preparing or submitting research papers and technical report

Experience working with datasets and benchmarking methodologies

Experience with speech datasets or audio processing

Experience with prompt engineering or evaluation frameworks

Public speaking or academic presentation experience

Interest in engaging with the research community

Ideal Profile
The ideal candidate:
Is comfortable discussing research topics with other researchers

Communicates clearly in technical discussions

Is proactive in networking within academic or industry conferences

Can represent technical concepts in a professional setting

Enjoys bridging academic research and real-world applications

Working Arrangement
Part-time engagement (flexible hours)

Remote collaboration with periodic meetings

Conference attendance (travel to conferences will be funded on relevant events defined with our CTO and Marketing department – e.g. ACL, Interspeech, NeurIPS, etc.)

Success Criteria
The researcher will be successful in this role by:
Contributing to research outputs (papers, reports, or prototypes)

Supporting internal R&D innovation

Producing high-quality technical content

Helping identify opportunities where data services can support research and model development

Establishing productive relationships within the AI research community

Salary: €1500-€2000Originally posted on Himalayas