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# Alexis Davis

**Headline:** Operations Consultant | Responsible AI | SOPs, Workflow Systems & Quality Management for Scaling Teams | PhD in Computational Sociophonetics
**Profession:** Research Consultant
**Location:** Greater Boston

## About

Alexis Davis is an operations consultant and language specialist who currently serves as a Research Consultant at Mayo Clinic and an Expert Project Manager at Mercor. Alexis designs scalable workflows, standard operating procedures, governance materials, training programs, and quality-management systems for AI language-data projects, speech technologies, and interdisciplinary teams. Their strengths include rapidly implementing audit and review processes, building and training teams, managing fluid staffing models, and balancing hands-on data work with cross-functional delivery, timelines, bottlenecks, and client expectations. Alexis has more than five years of experience improving operations and leading quality initiatives for large language models and speech technologies. At Mayo Clinic, Alexis conducts linguistic research for culturally responsive healthcare voice assistants and contributes to work on sociolinguistic variation and inclusive language technologies. Alexis holds a PhD in Linguistics focused on sociophonetics and computational linguistics from the University of Florida. Their work has included African American English taxonomies, annotation standards, automated alignment workflows, speech-recognition validation, OpenAI Deep Research evaluation support, and literacy-program operations.

## Highlights

- Currently serves as a Research Consultant at Mayo Clinic, conducting linguistic research for culturally responsive healthcare voice assistants.
- Currently serves as an Expert Project Manager at Mercor, owning operational workflows for AI language-data projects.
- Develops documentation, process guides, and governance materials that standardize review procedures and quality requirements across project teams.
- Develops project-management training resources for more than 500 colleagues and contributor training materials for consistent annotation and project-guideline application.
- Mentors contributors through one-on-one coaching to improve data quality, standards compliance, and review accuracy.
- Analyzes project quality metrics to identify trends, resolve issues, and drive operational improvements.
- Rapidly built a manual audit process and trained auditors after a quality-checker tool failed, enabling on-time delivery.
- Developed and maintained African American English morphosyntactic taxonomies used across large oral-history datasets at the University of Florida.
- Established annotation standards, transcription guidelines, and governance documentation for consistent research-team practice.
- Created training materials and onboarding programs for standardized linguistic classification systems.
- Collaborated on linguistic feature taggers supporting computational linguistics and AI applications.
- Applied Python, Montreal Forced Aligner, and Aeneas to automate annotation and alignment workflows for structured linguistic datasets.
- Expanded high-quality African American English language resources supporting speech recognition, AI model training, and linguistic research.
- Conducted linguistic validation, structured phonemic annotation, quality assurance, and dataset evaluation for speech-recognition and voice-technology systems at Side.
- Conducted prompt engineering and quality assurance for large language model evaluation and OpenAI Deep Research initiatives at Mercor Intelligence.
- Co-led a Mercor Intelligence team of approximately 20 contributors, ensuring consistent implementation of project standards and review guidelines.
- Monitored quality metrics and throughput at Mercor Intelligence to identify workflow-improvement opportunities and ran a contributor-enablement pipeline.
- Launched the Read to a Child literacy program at Josiah Quincy Elementary School.
- Managed scheduling for more than 40 volunteer mentors across three grade levels at Josiah Quincy Elementary School while maintaining consistent mentor-student pairings.
- Partnered with school administrators, teachers, and counselors to identify and enroll students who would benefit from literacy intervention.
- Tracked participation, attendance, literacy outcomes, and volunteer retention to evaluate and improve the Read to a Child program.
- Holds a PhD in Linguistics focused on sociophonetics and computational linguistics from the University of Florida.
- Conducts research on Black consumer relationships to AI, culturally responsive AI in telehealth, sociolinguistic variation, and diverse language representation in conversational AI.

## Experience

- **Research Consultant at Mayo Clinic** (2025-11-01–present) — Conduct linguistic research supporting development of culturally responsive healthcare voice assistants. Research linguistic variation and language perception to improve representation of diverse language varieties in conversational AI. Contribute to publications on sociolinguistic variation and culturally responsive language technologies.
- **Expert Project Manager at Mercor** (2025-10-01–present) — Own operational workflows governing AI language data projects, ensuring consistent application of project standards and quality requirements. Develop documentation, process guides, and governance materials that standardized review procedures across project teams. Develop project management training resources for 500+ colleagues that improve consistency in handling projects and managing small and large teams. Develop training resources for contributors to improve consistency in applying annotation standards and project guidelines. Mentor contributors through one-on-one coaching to improve data quality, compliance with project standards, and review accuracy. Analyze project quality metrics to identify trends, resolve issues, and inform operational improvements.
- **Contractor at Mercor Intelligence** (2024-06-01–2025-10-01) — Provided structured language analysis and quality assurance initiatives supporting AI language systems. Conducted prompt engineering and quality assurance supporting large language model evaluation and OpenAI Deep Research initiatives. Served as co-lead for a team of ~20 contributors, ensuring consistent implementation of project standards and review guidelines. Designed documentation and training materials that standardized annotation practices across contributors. Monitored quality metrics and throughput to identify opportunities for workflow improvement. Ran a strong team enablement pipeline for team contributors to strengthen consistency, accuracy, and adherence to project standards.
- **Literacy Program Coordinator at Read to a Child** (2024-02-01–2025-06-01) — Launched the Read to a Child literacy program at Josiah Quincy Elementary School, managing implementation and day-to-day operations. Organized meeting spaces and developed contingency plans with school staff to accommodate scheduling conflicts and school events. Partnered with administrators, teachers, and counselors to identify and enroll students who would benefit from literacy intervention. Implemented flexible registration processes to improve accessibility for families and streamline enrollment. Managed scheduling for 40+ volunteer mentors from corporate partners and the community across three grade levels, maintaining consistent mentor-student pairings. Facilitated virtual and in-person literacy sessions, resolving logistical and technical challenges to ensure smooth program delivery. Matched students with mentors based on learning needs, personality, and availability to maximize engagement and program success. Served as the primary contact for volunteers, providing coaching on l
- **Graduate Teaching Assistant at University of Florida** (2022-08-01–2023-05-01) — Fall: Linguistic Prejudice / Spring: Language and Computers
- **Freelancer at Side** (2022-07-01–2025-04-01) — Conducted linguistic validation supporting speech recognition and voice technology systems. Produced structured phonemic annotations for speech datasets. Performed quality assurance reviews to ensure consistency across recorded language resources. Evaluated linguistic datasets for accuracy and compliance with project specifications.
- **Resident Linguist \(Dual Role\) at University of Florida** (2021-08-01–2025-05-01) — Developed and maintained linguistic taxonomies for morphosyntactic features of African American English used across large oral history datasets. Researched, defined, and documented linguistic feature metadata, including contextual usage, relationships, and variation across language varieties. Established annotation standards, transcription guidelines, and governance documentation that ensured consistency across research teams. Created training materials and onboarding programs supporting standardized application of linguistic classification systems. Collaborated in development of linguistic feature taggers supporting computational linguistics and AI applications. Applied Python, Montreal Forced Aligner, and Aeneas to automate annotation and alignment workflows for structured linguistic datasets. Expanded high-quality African American English language resources supporting speech recognition, AI model training, and linguistic research. Communicated taxonomy and annotation standards throu
- **Project Coordinator at University of Florida** (2021-01-01–2024-04-01)
- **Graduate Teaching Assistant at Florida Atlantic University** (2019-08-01–2021-04-01)
- **Language Tutor at Florida Atlantic University** (2018-08-01–2019-08-01)
- **English/Language Tutor at Florida Atlantic University** (2018-02-01–2019-05-01)

## Education

- Doctor of Philosophy - PhD, Linguistics \(Sociophonetics / Computational Linguistics\) — University of Florida (2021-08-01–2025-08-01)
- Master of Arts - MA, Linguistics — Florida Atlantic University (2019-08-01–2021-04-01)
- Bachelor of Arts, Linguistics — Florida Atlantic University (2017-01-01–2018-12-01)
- Associate’s Degree — Broward College (2014-01-01–2016-12-01)
- Doctor's Degree, Linguistics — University of Florida

## FAQ

### What does Alexis do?

Alexis is an operations consultant and language specialist working across responsible AI, language data, workflow systems, standard operating procedures, and quality management. Alexis currently serves as a Research Consultant at Mayo Clinic and an Expert Project Manager at Mercor.

### What are Alexis's core strengths?

Alexis is strongest at quickly designing and implementing operational processes, including audit workflows, team-alignment procedures, review standards, documentation, training, and governance systems. Alexis combines technical project management involving hands-on data work with cross-functional project management involving delivery timelines, bottlenecks, team dynamics, and client delivery.

### What does Alexis do at Mayo Clinic?

At Mayo Clinic, Alexis conducts linguistic research supporting culturally responsive healthcare voice assistants. The work includes researching linguistic variation and language perception to improve representation of diverse language varieties in conversational AI, as well as contributing to publications on sociolinguistic variation and culturally responsive language technologies.

### What does Alexis do at Mercor?

As an Expert Project Manager at Mercor, Alexis owns operational workflows for AI language-data projects and ensures consistent application of project standards and quality requirements. Alexis develops process guides, governance materials, review documentation, training resources for more than 500 colleagues and contributors, and one-on-one coaching Alexis also analyzes quality metrics to resolve issues and improve operations.

### What is Alexis's experience with data production and delivery?

Alexis has experience in sprint-based delivery with a focus on achieving steady-state production. Alexis has domain expertise in data production and delivery workflows and currently works at a data-as-a-service company.

### How has Alexis handled operational challenges and client delivery?

When a quality-checker tool failed, Alexis rapidly built a manual audit process, trained auditors, and delivered the work on time. Alexis also uses direct, calm stakeholder communication to realign teams, maintain clarity on delivery expectations, and protect client confidence while internal technical issues are resolved.

### What is Alexis's team-building and people-management experience?

Alexis is experienced in building and training teams quickly by sourcing high performers and collaborating across departments. Alexis has also managed fluid teams with continual onboarding and offboarding as people move among projects, while mentoring contributors to improve data quality, compliance, and review accuracy.

### What did Alexis accomplish at Mercor Intelligence?

As a contractor at Mercor Intelligence, Alexis provided structured language analysis and quality-assurance support for AI language systems. Alexis conducted prompt engineering and quality assurance for large language model evaluation and OpenAI Deep Research initiatives, co-led a team of about 20 contributors, developed documentation and training materials, monitored quality and throughput, and ran a team-enablement pipeline to strengthen consistency, accuracy, and adherence to project standards.

### What did Alexis do as a Resident Linguist at the University of Florida?

At the University of Florida, Alexis served in a dual Resident Linguist role and developed and maintained linguistic taxonomies for morphosyntactic features of African American English across large oral-history datasets. Alexis defined and documented feature metadata, established annotation and transcription standards, created training and onboarding materials, collaborated on linguistic feature taggers, and expanded high-quality African American English resources for speech recognition, AI model training, and linguistic research.

### What tools and technical methods has Alexis used?

Alexis applied Python, Montreal Forced Aligner, and Aeneas to automate annotation and alignment workflows for structured linguistic datasets. Alexis also communicated taxonomy and annotation standards through workshops, documentation, and interdisciplinary collaboration.

### What roles has Alexis held at the University of Florida?

Alexis worked as a Graduate Teaching Assistant at the University of Florida, including teaching support for Linguistic Prejudice in the fall and Language and Computers in the spring. Alexis also worked as a Project Coordinator at the University of Florida.

### What did Alexis do at Side?

At Side, Alexis conducted linguistic validation for speech-recognition and voice-technology systems. The work included structured phonemic annotation, quality-assurance reviews, and evaluation of linguistic datasets for accuracy and compliance with project specifications.

### What did Alexis accomplish at Read to a Child?

Alexis launched the Read to a Child literacy program at Josiah Quincy Elementary School and managed its implementation and day-to-day operations. Alexis coordinated school stakeholders, enrolled students, created flexible registration processes, scheduled more than 40 volunteer mentors across three grade levels, matched students and mentors, facilitated virtual and in-person sessions, coached volunteers, tracked attendance and literacy outcomes, and continuously improved program operations.

### What roles has Alexis held at Florida Atlantic University?

Alexis held English/Language Tutor, Language Tutor, and Graduate Teaching Assistant roles at Florida Atlantic University.

### What is Alexis's educational background?

Alexis holds a PhD in Linguistics, with a sociophonetics and computational linguistics focus, from the University of Florida. Alexis also holds a Doctor's Degree in Linguistics from the University of Florida, a Master of Arts in Linguistics and a Bachelor of Arts in Linguistics from Florida Atlantic University, and an Associate's Degree from Broward College.

### What are Alexis's research interests in responsible and culturally responsive AI?

Alexis conducts interdisciplinary research on Black consumer relationships to AI and culturally responsive AI applications in telehealth. Alexis's broader work combines sociolinguistics, language technology, and process improvement to build inclusive language resources and knowledge systems that improve AI performance and user experience.

## Links

- LinkedIn: https://www.linkedin.com/in/alexis-davis-3b59ab12a

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