Your role and responsibilities As an Intern Data Specialist at IBM, you'll gain hands-on experience ... Collaborate with cross-functional business and technology teams while gaining exposure to cloud ...
Your role and responsibilities As an Intern Data Specialist at IBM, you'll gain hands-on experience ... Collaborate with cross-functional business and technology teams while gaining exposure to cloud ...
Your role and responsibilities As an Intern Data Specialist at IBM, you'll gain hands-on experience ... Collaborate with cross-functional business and technology teams while gaining exposure to cloud ...
Your role and responsibilities As an Intern Data Specialist at IBM, you'll gain hands-on experience ... Collaborate with cross-functional business and technology teams while gaining exposure to cloud ...
Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities As an Intern Data Specialist at ...
Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities As an Intern Data Specialist at ...
Your role and responsibilities As an Intern Data Specialist at IBM, you'll gain hands-on experience ... Collaborate with cross-functional business and technology teams while gaining exposure to cloud ...
Your role and responsibilities As an Intern Data Specialist at IBM, you'll gain hands-on experience ... Collaborate with cross-functional business and technology teams while gaining exposure to cloud ...
Software Engineer II - Fleet Enablement & Insights (Annotation Platform)
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$150 - $200/hr
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Autonomous Driving Intern - Data, Tools & Simulation
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The Data Research and Collection Intern collects and interprets data for our customers affected by ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.
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The Data Research and Collection Intern collects and interprets data for our customers affected by ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.
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Intern Data Annotation Tech information
What is an intern data annotation tech?
Intern Data Annotation Techs are entry-level professionals, often students or recent graduates, who support machine learning projects by labeling and categorizing data, such as images, text, or audio. Their work is essential for training AI systems, as accurately annotated data helps algorithms learn to make correct predictions. These interns typically use specialized software tools to tag or classify data according to specific guidelines. The role requires attention to detail, consistency, and sometimes basic technical skills, depending on the complexity of the data and tasks. Internships in data annotation can provide valuable exposure to the fields of artificial intelligence and data science.
What are the key skills and qualifications needed to thrive as an intern data annotation tech?
To thrive as an Intern Data Annotation Tech, you need attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or ongoing college coursework. Experience with annotation platforms, spreadsheet tools, and sometimes basic scripting languages is helpful. Strong communication, reliability, and the ability to follow detailed instructions are valuable soft skills in this role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable machine learning models.
What are some common challenges faced by intern data annotation techs, and how can they overcome them?
Intern Data Annotation Techs often encounter challenges such as maintaining consistency in labeling large datasets and understanding nuanced instructions for annotation tasks. To overcome these hurdles, it's important to ask clarifying questions early on, regularly review annotation guidelines, and participate in team discussions about edge cases. Collaboration with more experienced annotators and feedback from supervisors also help in refining skills and ensuring high-quality data preparation. Developing attention to detail and adaptability will contribute to a successful internship experience.
What is the difference between Intern Data Annotation Tech vs Intern Data Labeler?
| Aspect | Intern Data Annotation Tech | Intern Data Labeler |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Data annotation platforms, remote or office | Data labeling platforms, remote or office |
| Industry Usage | AI, machine learning, data science | AI, machine learning, data science |
| Job Focus | Annotating data for training AI models | Labeling data for machine learning algorithms |
Both roles involve preparing data for AI systems, with similar skills and work environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes technical annotation tasks, while 'Data Labeler' is a more general term. Both are entry-level positions vital for training AI models in the tech industry.
Can I do data annotation with no experience?
Intern Data Annotation Tech roles often do not require prior experience, as training is typically provided to teach skills like image or text labeling using annotation tools. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation software and understanding data quality standards can improve job performance over time.
Does data annotation tech actually pay?
Data annotation technicians are paid for their work, with wages typically ranging from minimum wage to higher rates depending on experience, complexity of tasks, and the employer. Payment is usually hourly or per task, and some roles may require basic skills in data labeling tools or software. Compensation varies by company and location but generally provides a reliable income for entry-level positions.
Is it hard to get hired for data annotation?
Getting hired as a data annotation intern typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. Many positions are entry-level and may not require extensive experience, making the application process relatively accessible for beginners. However, competition can vary depending on the company and location.
What are the most commonly searched types of Data Annotation Tech jobs in Michigan?
The most popular types of Data Annotation Tech jobs in Michigan are:
What are popular job titles related to Intern Data Annotation Tech jobs in Michigan?
For Intern Data Annotation Tech jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Intern Data Annotation Tech jobs in Michigan look for?
The top searched job categories for Intern Data Annotation Tech jobs in Michigan are:
- Home Based Medical Data Annotation
- Freelance Medical Data Annotation
- Internship Medical Data Annotation
- Evening Remote Data Annotation
- Contractual Remote Data Annotation
- Commission Medical Data Annotation
- Hourly Ai Data Annotation
- Volunteer Ai Data Annotator
- Remote Walmart Data Science
- Data Annotation Services
What cities in Michigan are hiring for Intern Data Annotation Tech jobs?
Cities in Michigan with the most Intern Data Annotation Tech job openings:
IBM rating
8.0
Based on 76 frontline employees who took The Breakroom Quiz
125th of 247 rated software companies
Job description
Introduction
As an IBM Consulting FutureNow Center Intern, you'll work alongside experienced professionals to help solve real business and technology challenges for clients around the world. You'll gain hands-on experience, build in-demand technical and professional skills, and contribute to meaningful projects while learning in a collaborative, team-based environment.
This internship is designed to provide meaningful, hands-on experience that prepares students for a potential full-time career with IBM Consulting upon graduation.
In this role, you'll work in one of our IBM Consulting FutureNow Centers , where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
Your role and responsibilities
As an Intern Data Specialist at IBM, you'll gain hands-on experience helping organizations transform data into actionable insights, automate business processes, and unlock the power of Artificial Intelligence (AI) through enterprise technology solutions. You'll work alongside experienced IBM professionals while developing practical technical, analytical, and problem-solving skills that prepare you for a future career in data engineering, Artificial Intelligence, and enterprise consulting.
As part of this opportunity, you will be aligned to the following practice:
AI, Analytics, Automation & Data Services - focused on helping organizations modernize data platforms, build scalable data pipelines, enable advanced analytics, automate business processes, and develop AI-driven solutions that improve business performance and decision-making.
Data is the foundation of Artificial Intelligence and digital transformation. During your internship, you'll gain exposure to how organizations use modern data platforms, cloud technologies, automation, analytics, and AI to solve complex business challenges and deliver meaningful business outcomes.
No two projects are exactly alike. You may contribute to projects supporting clients across industries including healthcare, financial services, retail, manufacturing, government, energy, and more.
Throughout your internship, you'll collaborate with experienced data specialists, data engineers, AI specialists, business professionals, and technology experts while learning how organizations solve complex business challenges through enterprise data and AI solutions. Through mentorship, structured learning, hands-on project experiences, and AI-enabled tools, you'll strengthen your technical capabilities, analytical thinking, and professional skills while building a strong foundation for a future career at IBM.
During your internship, you may have opportunities to:
- Support data engineering services and AI initiatives that improve business performance, operational efficiency, and data-driven decision-making.
- Assist experienced team members with designing, building, testing, and maintaining data pipelines, data integration processes, and modern data platforms.
- Contribute to data preparation, transformation, validation, and quality activities that support analytics, automation, and Artificial Intelligence solutions.
- Analyze structured and unstructured data to identify trends, generate insights, and support business decision-making.
- Collaborate with cross-functional business and technology teams while gaining exposure to cloud platforms, enterprise data architectures, analytics, and AI technologies.
- Assist with testing, validating, and supporting data engineering and analytics solutions while learning how organizations build trusted, scalable data environments.
- Participate in project meetings, workshops, and professional development opportunities while building communication, teamwork, and consulting skills.
To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You'll receive a status update email for each application, so be sure to check your IBM Careers account regularly - it's the best way to get a centralized view of which roles you have active applications against.
Required education
High School Diploma/GED
Preferred education
Bachelor's Degree
Required technical and professional expertise
- Currently pursuing a Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, Analytics, or a related field.
- Interest in data engineering, Artificial Intelligence, analytics, automation, cloud technologies, or digital transformation concepts.
- Basic understanding of programming concepts with exposure to Python, SQL, Java, or similar technologies through coursework, projects, research, internships, or personal learning.
- Basic understanding of databases, data structures, data processing, analytics, and how data supports business decision-making.
- Exposure to data preparation, transformation, visualization, analytics, or business problem-solving through coursework, academic projects, research, hackathons, student organizations, personal learning, certifications, IBM SkillsBuild, student organizations, volunteer experiences, or other practical learning opportunities.
- Awareness of Artificial Intelligence, Machine Learning, Generative AI, and emerging technologies, along with their impact on business and digital transformation.
You don't need to be an expert to get started. We're looking for individuals with a strong foundation, a growth mindset, and a desire to learn and make an impact.
Bring your curiosity. Grow your skills. Build what's nex, like an IBMer.
Preferred technical and professional experience
- Exposure to data engineering, analytics, automation, Artificial Intelligence, cloud technologies, or enterprise data platforms through coursework, student projects, research, hackathons, or internship experiences.
- Familiarity with databases, SQL, ETL/ELT concepts, data visualization tools, cloud platforms, machine learning workflows, or modern data architectures.
- Interest in Artificial Intelligence, Generative AI, data-driven decision-making, consulting, and continuous learning.
- Ability to collaborate effectively with teammates while supporting data modernization, analytics, and enterprise AI transformation initiatives.
ABOUT BUSINESS UNIT
IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law.
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Job Title
Intern Data Specialist - AI & Analytics - 2027
Date posted
14-Aug-2026
Job ID
128792
City / Township / Village
Lansing
State / Province
Michigan
Country
United States
Work arrangement
Hybrid
Area of work
Data & Analytics
Employment type
Co-Op (Fixed Term)
Contract type
Internship
Projected Minimum Salary per year
45,760.00
Projected Maximum Salary per year
45,760.00
Position type
Internship
Travel required
Up to 20% or 1 day a week
Company
(0147) International Business Machines Corporation
Shift
General (daytime)
Is this role a commissionable/sales incentive based position?
No
About IBM
Sourced by ZipRecruiter
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Industry
It services
Company size
10,000+ Employees
Headquarters location
Armonk, NY, US
Year founded
1911