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Full Time Machine Learning Data Annotation Jobs in Fort Wayne, IN

TriMas Corporation

Senior Controls Engineer

Auburn, IN · On-site

$90K - $119K/yr

Maintain all sub machine control data highways * Maintain and update controls portion of machine ... learning. * Driving Innovation - We invest in continuous improvement and operational excellence ...

Rieke Packaging Systems

Senior Controls Engineer

Auburn, IN

$90K - $119K/yr

Maintain all sub machine control data highways * Maintain and update controls portion of machine ... learning. * Driving Innovation - We invest in continuous improvement and operational excellence ...

TriMas Corporation

Senior Controls Engineer

Auburn, IN · On-site

$90K - $119K/yr

Maintain all sub machine control data highways * Maintain and update controls portion of machine ... learning. * Driving Innovation - We invest in continuous improvement and operational excellence ...

CCT Enterprises, LLC

CNC Mill Operator

Auburn, IN · On-site

$19 - $23/hr

What You'll Do Machine Operation * Operate established CNC milling machines according to setup ... Schedule * Full-Time * 2nd Shift * Monday-Thursday * Four 10-Hour Shifts * Three-Day Weekend Every ...

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All JobsMachine Learning Data Annotation JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Fort Wayne, IN

Full Time Machine Learning Data Annotation information

See Fort Wayne, IN salary details

$37K

$121.1K

$193.9K

How much do full time machine learning data annotation jobs pay per year?

As of Aug 18, 2026, the average yearly pay for full time machine learning data annotation in Fort Wayne, IN is $121,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What is a full time machine learning data annotation job?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What are the key skills and qualifications needed to thrive as a full time machine learning data annotation specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Fort Wayne, IN?

For Full Time Machine Learning Data Annotation jobs in Fort Wayne, IN, the most frequently searched job titles are:

What job categories do people searching Full Time Machine Learning Data Annotation jobs in Fort Wayne, IN look for?

The top searched job categories for Full Time Machine Learning Data Annotation jobs in Fort Wayne, IN are:

Full Time Machine Learning Data Annotation jobs near you
Infographic showing various Full Time Machine Learning Data Annotation job openings in Fort Wayne, IN as of July 2026, with employment types broken down into 1% As Needed, 16% Full Time, 10% Part Time, 67% Contract, and 6% Nights. Highlights an 4% Physical, and 96% Remote job distribution, with an average salary of $121,100 per year, or $58.2 per hour.

CNC Machinist - Hurco Conversational Programming (Fort Wayne, IN)

Ottenweller Company

Fort Wayne, IN • On-site

$20.25 - $27.75/hr

Full-time

Re-posted 16 days ago

Job description

Job description Using Conversational Programming skills, sets up and operates conventional, special purpose, and Hurco CNC machines and machining centers to fabricate metallic parts by performing the following duties. Essential Duties: Studies blueprints, manuals, specifications, or sample parts to determine dimensions and tolerances of finished workpiece, sequence of operations, and setup requirements. Selects program if available or programs functions to create a part per blueprint by selecting fields to enter part and tool set-ups considering tools needed, tolerances, material type, quantity and resources available.

Measures, marks, and scribes dimensions and reference points on material or workpiece as guides for subsequent machining. Selects, aligns, and secures holding fixtures, cutting tools, attachments, accessories, and materials on machines. Calculates and sets controls to regulate machining factors such as speed, feed, coolant flow, and depth and angle of cut, or enters commands to retrieve, input, or edit computerized machine control media.

Runs trial to verify accuracy of machine settings or programmed data control. Runs machining center, including but not limited to, prepping parts, loading parts, starting and observing machine operation to detect malfunctions or out-of-tolerance machining, adjusting machining controls, and unloading parts. Grinds, files and sands machined parts.

Cleans machined parts. Performs first-piece and in-process inspection by checking dimensions of part per blueprint using calipers, micrometers, indicators, and tape measure. Inspects parts according to C=0 chart.

Completes inspection form. Performs routine preventative maintenance and general repairs on machines as required. Completes maintenance log.

Sets up and operates manual machining equipment as assigned Performs other duties as assigned. Qualifications: High school diploma or general education degree (GED), one to two years related experience and/or training or an equivalent combination of education and experience, and ability to read and interpret blueprint and to read basic measuring tools are required. Previous CNC programming and set up experience preferred.

Strong mechanical aptitude. Well versed in GD&T and reading blueprints. Hurco Machine experience preferred.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to stand and use hands to finger, handle, or feel.

The employee is occasionally required to walk, climb and/or bend. The employee must frequently lift and/or move up to 50 pounds. Specific vision abilities required by this job include close vision, peripheral vision, and ability to adjust focus.

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly exposed to moving mechanical parts and fumes or airborne particles.

The noise level in the work environment is usually loud. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

This is a non-management position This is a full time position

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