AI Researcher (PhD Internship)

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    "datePosted": "2026-02-23",
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      "city": "Austin",
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    "description": "<p><span style=\"font-weight: bold\"><span><span>AI Researcher (Part-Time, PhD </span><span>Student, early-career researcher</span><span>)</span></span></span><span> </span></p>\n<p><span style=\"font-weight: bold\"><span><span>Location:</span></span></span><span><span> <span style=\"font-weight: bold\">Remote, with conference travel (U.S. or Europe preferred)</span></span></span><span><span style=\"font-weight: bold\"> </span><br></span><span style=\"font-weight: bold\"><span><span>Engagement Type:</span></span></span><span><span> Internship (Parttime)</span></span><span><br></span><span style=\"font-weight: bold\"><span><span>Department:</span></span></span><span><span> </span><span>TECH / </span><span>R&amp;D</span></span><span> </span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><span><span>About </span><span>DATAmundi</span></span></span><span> </span></p>\n<p><span><span>DATAmundi</span><span> 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&amp;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.</span></span><span> </span></p>\n<p><span><span>We are expanding our R&amp;D activities and seeking researchers to collaborate on applied research and technical outreach within the AI ecosystem.</span></span><span> </span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><span><span>Role Overview</span></span></span><span> </span></p>\n<p><span><span>DATAmundi</span><span> is seeking a part-time </span></span><span style=\"font-weight: bold\"><span><span>AI Researcher</span></span></span><span><span> (PhD student, doctoral candidate, or early-career researcher) in areas such as <span style=\"font-weight: bold\">Agentic AI, Machine Learning, Natural Language Processing, or Speech Technologies.</span></span></span><span style=\"font-weight: bold\"> </span></p>\n<p><span><span>The researcher will </span><span>report directly to our CTO and </span><span>contribute to <span style=\"font-weight: bold\">internal research initiatives, co-author technical papers, and help prototype research systems related to </span></span><span style=\"font-weight: bold\">machine translation, data validation, </span><span><span style=\"font-weight: bold\">evaluation methodologies, and AI model performance</span>. The role also includes technical communication activities such as writing educational technical content and participating in academic and industry conferences.</span></span><span> </span></p>\n<p><span><span>This position combines applied research, engineering experimentation, and academic engagement with the broader AI research community.</span></span><span> </span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><span><span>Key Responsibilities</span><span>:</span></span></span><span> </span></p>\n<p><span style=\"font-weight: bold\"><span><span>Research &amp; R&amp;D Contribution</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Conduct applied research related to <span style=\"font-weight: bold\">AI model evaluation, data quality, and validation methodologies</span></span></span><span style=\"font-weight: bold\"> </span></li>\n</ul>\n<ul>\n<li><span><span>Co-author research papers,<span style=\"font-weight: bold\"> technical reports, and whitepapers</span></span></span><span style=\"font-weight: bold\"> </span></li>\n</ul>\n<ul>\n<li><span><span>Implement research prototypes and experimental systems</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Support internal R&amp;D initiatives in areas such as</span><span> </span><span style=\"font-weight: bold\">Agentic AI systems, LLM evaluation and validation, Speech and multimodal model assessment, </span><span><span style=\"font-weight: bold\">Data-centric AI</span> methodologies</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Collaborate with the engineering team to translate research ideas into practical workflows</span></span><span> </span></li>\n</ul>\n<p><span style=\"font-weight: bold\"><span><span>Research System Implementation</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Develop experimental code and proof-of-concept implementations</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Work with datasets used for training, evaluation, and benchmarking</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Design experiments and </span><span>analyze</span><span> results</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Document methodologies and experimental findings</span></span><span> </span></li>\n</ul>\n<p><span style=\"font-weight: bold\"><span><span>Technical Writing &amp; Knowledge Sharing</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Write technical blog articles explaining recent advances in AI and ML</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Translate complex research topics into accessible technical content</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Support marketing and communications teams with technically accurate material</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Contribute educational materials and technical explainers</span></span><span> </span></li>\n</ul>\n<p><span style=\"font-weight: bold\"><span><span>Conference Participation &amp; Outreach</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Attend academic and industry conferences</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Engage with researchers from AI companies</span><span> and </span><span>academia</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Discuss research topics, evaluation challenges, and data requirements</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Identify opportunities for collaboration related to dataset needs and model evaluation</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Maintain professional follow-up communication after conferences</span></span><span> </span></li>\n</ul>\n<p><span style=\"font-weight: bold\"><span><span>Required Qualifications</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Current PhD student, doctoral candidate, or recent graduate in:</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Machine Learning</span><span>/</span><span>Artificial Intelligence</span><span>/</span><span>Natural Language Processing</span><span>/</span><span>Speech Processing</span><span>/</span><span>Computer Science or related field</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Strong understanding of modern AI models (LLMs, speech models, or multimodal systems)</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience implementing research code in Python</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Familiarity with common ML frameworks</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Ability to read and understand academic papers</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Strong written English skills</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Interest in applied research and real-world deployment challenges</span></span><span> </span></li>\n</ul>\n<p><span style=\"font-weight: bold\"><span><span>Desired Skills / Experience</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Research experience in Agentic AI, LLM evaluation, or model alignment</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience preparing or submitting </span><span>research papers and technical report</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience working with datasets and benchmarking methodologies</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience with speech datasets or audio processing</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience with prompt engineering or evaluation frameworks</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Public speaking or academic presentation experience</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Interest in engaging with the research community</span></span><span> </span></li>\n</ul>\n<p><span style=\"font-weight: bold\"><span><span>Ideal</span><span> Profile</span></span></span><span> </span></p>\n<p><span><span>The ideal candidate:</span></span><span> </span></p>\n<ul>\n<li><span><span>Is comfortable discussing research topics with other researchers</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Communicates clearly in technical discussions</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Is proactive in networking within academic or industry conferences</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Can represent technical concepts in a professional setting</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Enjoys bridging academic research and real-world applications</span></span><span> </span></li>\n</ul>\n<p><span style=\"font-weight: bold\"><span><span>Working Arrangement</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Part-time engagement (flexible hours)</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Remote collaboration with periodic meetings</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>C</span><span>onference attendance (travel </span><span>to conferences will </span><span>be </span><span>funded </span><span>on </span><span>relevant </span><span>event</span><span>s defined with our CTO and Marketing </span><span>department </span><span>– e.g. ACL, </span><span>Interspeech</span><span>, </span><span>NeurIPS</span><span>, etc.</span><span>)</span></span><span> </span></li>\n</ul>\n<p><span style=\"font-weight: bold\"><span><span>Success Criteria</span></span></span><span> </span></p>\n<p><span><span>The researcher will be successful in this role by:</span></span><span> </span></p>\n<ul>\n<li><span><span>Contributing to research outputs (papers, reports, or prototypes)</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Supporting internal R&amp;D innovation</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Producing high-quality technical content</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Helping identify opportunities where data services can support research and model development</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Establishing productive relationships within the AI research community</span></span><span> </span></li>\n</ul>\n<p><span> </span></p>",
    "compensation": "€1500-€2500 (Parttime)",
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