Texas Software jobs

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

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

• 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)

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.

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.

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 that have synergistic products and services portfolios, including but not limited to Automated Contact Center Solutions (ACCS), customer contact management, IT Services (IT Schedule 70), and Temporary and Administrative Professional Staffing (TAPS Schedule 736), Business Process Management (BPM), Business Process Outsourcing (BPO), Claims Processing, Collections, Customer Experience Provider (CXP), Customer Service, Digital Experience Provider (DXP), Account Receivables Management (ARM), Application Software Development, Managed Services, and Technology Services, to mid-market, Federal & enterprise partners. MCI now employs 10,000+ talented individuals with 150+ diverse North American client partners across the following MCI brands: MCI BPO, MCI BPOaaS, MarketForce, GravisApps, Gravis Marketing, MarchEast, Mass Markets, MCI Federal Services (MFS), OnBrand24, The Sydney Call Center, Valor Intelligent Processing (VIP), BYC Aqua, EastWest BPO, TeleTechnology, and Vinculum.