AI Data Annotator

AI Data Annotator

MCI is one of the fastest-growing tech-enabled business services companies in the USA, with a strong call center footprint and operations that extend across multiple countries. We deliver Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions across a wide range of industries, including healthcare, retail, government, education, telecom, technology e-commerce, and financial services. Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies to enhance customer journeys, drive scalability and reduce costs.

At MCI we are committed to fostering an environment where professionals can build meaningful careers, access continuous learning and development opportunities and contribute to the success of a globally expanding, industry-leading organization.

We are seeking a detail-oriented AI Data Annotator to support the development and improvement of AI and machine learning models through accurate data labeling, classification, and validation. This role plays a critical part in ensuring AI systems are trained using high-quality datasets that produce reliable and effective outcomes.

The successful candidate will work closely with AI engineers, data scientists, and quality teams to maintain data accuracy and consistency.

To be considered for this role, you must complete a full application on our company careers page, including all screening questions and a brief pre-employment test.

Position Responsibilities

Key Responsibilities:

• Create high-quality datasets that support AI model training.
• Label, categorize, and annotate structured and unstructured data.
• Follow annotation guidelines and quality standards.
• Review datasets for accuracy and completeness.
• Maintain consistency across annotation projects.

Data Quality Assurance:

• Support the integrity and effectiveness of training data.
• Perform quality checks and validation activities.
• Identify annotation errors and inconsistencies.
• Escalate data quality concerns when necessary.
• Participate in calibration and review exercises.

Dataset Management:

• Assist in preparing and maintaining AI training datasets.
• Organize and manage data annotation workflows.
• Track progress against project timelines.
• Support dataset updates and maintenance activities.
• Ensure proper version control and documentation.

Collaboration & Feedback:

• Work effectively with technical and operational teams.
• Collaborate with AI trainers and data scientists.
• Provide feedback on annotation processes.
• Support continuous improvement initiatives.
• Participate in team discussions and training sessions.

Continuous Improvement:

• Contribute to the enhancement of annotation practices.
• Identify opportunities to improve efficiency and accuracy.
• Support the development of annotation guidelines.
• Stay informed about AI and machine learning developments.
• Contribute to quality improvement initiatives.

Candidate Qualifications

Wonder If You Are A Good Fit For This Position?

All positive, and driven applicants are encouraged to apply. The Ideal candidates for this position are highly motivated and dedicated and should possess the below qualities:

• Diploma or Bachelor's Degree in Information Technology, Data Science, Linguistics, Business, Communications, or a related field.
• Experience working with data entry, content review, annotation, or quality assurance activities.
• Strong attention to detail and accuracy.
• Excellent written communication skills.
• Ability to interpret and follow detailed guidelines.
• Strong organizational and time management skills.
• Basic understanding of AI and machine learning concepts.
• Proficiency in Microsoft Office or Google Workspace.
• Ability to work independently and manage deadlines.
• Strong analytical and problem-solving abilities.
• Ability to maintain confidentiality and data security standards.
• Comfortable working with large datasets.

Nice To Have:

• Previous AI data annotation experience.
• Experience working with annotation platforms and tools.
• Knowledge of NLP or Generative AI concepts.
• Exposure to quality assurance processes.
• Experience reviewing multilingual content.
• Familiarity with data governance requirements.
• Experience in BPO, technology, or digital environments.
• Understanding of prompt evaluation methodologies.

Physical Requirements

This job operates in a professional office environment. While performing the duties of this job, the employee will be largely sedentary and will be required to sit/stand for long periods while using a computer and telephone headset. The employee will be regularly required to operate a computer and other office equipment, including a phone, copier, and printer. The employee may occasionally be required to move about the office to accomplish tasks; reach in any direction; raise or lower objects, move objects from place to place, hold onto objects, and move or exert force up to forty (40) pounds.

Conditions Of Employment

All MCI Locations:

• Must be authorized to work in the country where the job is based.

Subject To The Program And Location Of The Position:

• Must be willing to submit up to a LEVEL II background and/or security investigation with a fingerprint. Job offers are contingent on background/security investigation results.
• Must be willing to submit to drug screening. Job offers are contingent on drug screening results. (Does not apply in Canada)

Reasonable Accommodation

Consistent with the Americans with Disabilities Act (ADA), it is the policy of MCI and its affiliates to provide reasonable accommodations when requested by a qualified applicant or employee with a disability unless such accommodations would cause undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment. If reasonable accommodations are needed, please contact Human Resources.

Equal Opportunity Employer

At MCI and its subsidiaries, we embrace differences and believe diversity is a benefit to our employees, our company, our customers, and our community. All aspects of employment at MCI are based solely on a person's merit and qualifications. MCI maintains a work environment free from discrimination, one where employees are treated with dignity and respect. All employees share in the responsibility for fulfilling MCI's commitment to a diverse and equal opportunity work environment.

MCI does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. MCI will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.

MCI will not tolerate discrimination or harassment based on any of these characteristics. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of MCI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where an employee works.

About MCI (Parent Company)

MCI helps customers take on their CX and DX challenges differently, creating industry-leading solutions that deliver exceptional experiences and drive optimal performance. MCI assists companies with business process outsourcing, staff augmentation, contact center customer services, and IT Services needs by providing general and specialized hosting, software, staff, and services.

In 2019, Marlowe Companies Inc. (MCI) was named by Inc. Magazine as Iowa's Fastest Growing Company in the State of Iowa and was named the 452nd Fastest Growing Privately Company in the USA, making the coveted top 500 for the first time. MCI's subsidiaries had previously made Inc. Magazine's List of Fastest-Growing Companies 15 times, respectively. MCI has ten business process outsourcing service delivery facilities in Georgia, Florida, Texas, New Mexico, California, Kansas, Nova Scotia, South Africa, and the Philippines.

Driving modernization through digitalization, MCI ensures clients do more for less. MCI is the holding company for a diverse lineup of tech-enabled business services operating companies. MCI organically grows, acquires, and operates companies