Datacor
More roles at DatacorSummer 2027 AI Engineer Intern
Remote role where the employee must remain based in a particular country.
United States only
From the listing details: Residency required in United States
Employer listed it 3 weeks ago · Added 4 weeks ago
Been open since 4 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
United States only
Timezone
Not stated
Contract
Full-time
Experience
Entry
Category
Software
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in.
- Contract
Experience in a professional environment, including prior internship experience is preferred.
- Experience asked for
- Not mentioned in the advert
- Pay
- Not mentioned in the advert
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Remote, US, Remote - US"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Experience: employer states
Written as a nice-to-have
- “Experience in a professional environment, including prior internship experience is preferred.”
Questions worth asking: Nomaders interpretation
- No pay is stated. Ask for the salary range before investing time in interviews.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
About Us:
Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers’ most difficult problems.
We are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications.
The Role:
At our core, we empower our top talent with the autonomy to craft innovative solutions that make a real difference—helping our users become better, faster, smarter, and more efficient. In our working team model, you’ll move fast and continuously deliver cutting-edge features by collaborating with a cross functional team. This approach gives our AI scientists and engineers full ownership—from ideation and research to experimentation and scaling groundbreaking products and services that directly impact our users’ daily operations.
We seek curious, humble, and driven individuals who embrace learning as a fundamental part of their journey. If you’re passionate about pushing AI boundaries and making a meaningful impact alongside a supportive, innovative team, this is the place for you.
Responsibilities:
Collaborate with stakeholders to identify new AI opportunities and create intelligent AI applications.
Lead MVP development using a test-and-learn approach with cross-functional teams.
Iterate from problem framing to prototyping and deploying production-grade solutions.
Deliver reliable, scalable AI features in production.
Build prototypes and develop data pipelines for deployment.
Experiment with generative LLMs to create and enhance generative applications using prompts and user feedback.
Clearly communicate efforts and impact to both technical and business audiences.
Qualifications:
Currently enrolled in a Master’s of PhD program in C omputational Data Science, Computer Science, Electrical/Computer Engineering, or related fields.
A self-starter with the ability to work independently and within a team.
Experience in a professional environment, including prior internship experience is preferred.
Expertise in the latest Large Language Models (LLMs) and AI advancements.
Proactive in staying updated with evolving AI trends and new LLM releases.
Skilled at diagnosing and solving complex, ambiguous problems with curiosity and a product-focused mindset.
Strong communication and presentation skills, able to convey complex analysis clearly and actionably.
Results-oriented, creative thinker who takes initiative and delivers practical solutions.
Committed to inclusivity, respecting diverse perspectives to foster innovation and build great products.
Requirements
- ·Currently enrolled in a Master’s of PhD program in C omputational Data Science, Computer Science, Electrical/Computer Engineering, or related fields.
- ·A self-starter with the ability to work independently and within a team.
- ·Experience in a professional environment, including prior internship experience is preferred.
- ·Expertise in the latest Large Language Models (LLMs) and AI advancements.
- ·Proactive in staying updated with evolving AI trends and new LLM releases.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Datacor, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 26d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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