AI Trainer

MCI; United States; Sur place; USD 70 000 - 90 000; Plein temps

Résumé du poste

MCI is looking for a detail-oriented and analytical AI Trainer to enhance AI systems and Large Language Models (LLMs). The successful candidate will work with AI engineers and product teams to ensure systems deliver high-quality outputs. Responsibilities include training AI systems, evaluating AI-generated responses, and supporting dataset management.

The ideal applicant has a Bachelor's degree and at least 2 years of relevant experience in AI training or data evaluation and possesses strong analytical thinking skills.

Qualifications

• Bachelor's degree in a relevant field required.
• Minimum 2 years of experience in AI training or data annotation.
• Strong written and verbal communication skills are essential.

Responsabilités

• Support development and enhancement of AI systems through training.
• Evaluate AI-generated responses for quality and accuracy.
• Help create and maintain high-quality datasets.

Connaissances

Attention to detail

Analytical thinking

Communication skills

Problem-solving

Collaboration

Formation

Bachelor's Degree in relevant field

Outils

Microsoft Office

Google Workspace

Description du poste

We are seeking a detail-oriented and analytical AI Trainer to help improve the performance, accuracy, and effectiveness of AI systems and Large Language Models (LLMs). This role is responsible for evaluating AI outputs, creating training datasets, refining model behavior, and supporting the continuous improvement of AI‑powered products and services.

The successful candidate will work closely with AI engineers, prompt engineers, data annotators, and product teams to ensure AI systems consistently deliver high‑quality, accurate, and business‑aligned outcomes.

Key Responsibilities

• Support the development and enhancement of AI systems through structured training and evaluation activities.
• Train AI systems using defined methodologies and processes.
• Evaluate AI‑generated responses for quality, relevance, and accuracy.
• Identify trends, weaknesses, and areas for model improvement.
• Contribute to the refinement of model behaviors and outputs.

Data Preparation & Annotation Support

• Help create and maintain high‑quality datasets that support AI training initiatives.
• Develop and review training datasets and examples.
• Collaborate with data annotation teams to ensure quality standards.
• Validate labeled data and training materials.
• Support dataset management and maintenance activities.

Prompt Evaluation & Optimization

• Assist in improving AI performance through prompt analysis and testing.
• Evaluate prompt effectiveness across multiple use cases.
• Identify opportunities to improve AI response quality.
• Support prompt testing and experimentation initiatives.
• Collaborate with prompt engineering teams on optimization efforts.

Quality Assurance & Performance Monitoring

• Ensure AI systems meet organizational quality expectations.
• Conduct structured evaluations of AI outputs.
• Monitor performance against established benchmarks.
• Document findings and recommendations.
• Support quality improvement initiatives.

Documentation & Continuous Improvement

• Contribute to the ongoing development of AI training practices.
• Maintain documentation, guidelines, and training standards.
• Assist with creating evaluation frameworks and procedures.
• Stay informed about AI and Generative AI developments.
• Recommend improvements to training processes and methodologies.

Are You a Good Fit?

• Bachelor's Degree in Linguistics, Communications, Psychology, Computer Science, Information Systems, Data Science, Business, or a related field.
• Minimum 2 years of experience in AI training, content evaluation, data annotation, quality assurance, research, or a related field.
• Strong written and verbal communication skills.
• Excellent attention to detail and analytical thinking abilities.
• Ability to evaluate large volumes of content consistently and accurately.
• Experience following detailed processes, guidelines, and quality standards.
• Strong problem‑solving and critical‑thinking skills.
• Comfortable working with large datasets and structured information.
• Ability to provide constructive feedback and recommendations.
• Strong organizational and time‑management abilities.
• Proficiency in Microsoft Office or Google Workspace.
• Ability to collaborate effectively with technical and non‑technical stakeholders.

Nice to Have

• Experience working with Large Language Models (LLMs).
• Experience in AI training, chatbot evaluation, or prompt testing.
• Knowledge of Generative AI technologies.
• Experience with annotation or AI evaluation platforms.
• Familiarity with NLP concepts.
• Experience working within technology, SaaS, or BPO environments.
• Understanding of AI governance and responsible AI principles.
• Exposure to machine learning workflows.

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.

All MCI Locations

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

Program and Location Requirements

• 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.