AI Specialist Jobs
AI Specialist jobs are open across technology, healthcare, finance, and manufacturing, from entry-level analyst to principal and director, with specializations in machine learning engineering, natural language processing, and computer vision. Find a role that fits from the openings below and apply directly.
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Responsibilities
About the Team
At TikTok, we are passionate about building a world-class support experience for every user. Our team creates and powers the all-in-one customer support platform for TikTok and international business teams, with a focus on intelligent customer service solutions. We sit at the center of the user support journey, making sure that whenever someone needs help, they receive fast, accurate, and meaningful assistance. Our work is driven by three core priorities:
1. Easy Access to Support: We design streamlined help channels that make it simple and intuitive for users to find the support they need, minimizing wait times and enhancing satisfaction.
2. Precise Ticket Routing: Through intelligent categorization and routing systems, we ensure user inquiries reach the right teams quickly, improving resolution efficiency and user outcomes.
3. Empowering Internal Teams: We build smart, reliable platforms and tools that equip our support teams to deliver professional, efficient, and user-centered service.
We are seeking an AI/NLP Operations Specialist to optimize and enhance our AI-driven customer service platform. You will be responsible for improving model accuracy in feedback recognition and routing, ensuring inquiries are efficiently distributed to the right support teams. This role requires deep business understanding, collaboration with AI/algorithm teams, and data-driven optimization to enhance overall system performance.
Responsibilities
1. Model Optimization and Strategy:
- Partner closely with algorithm teams to refine NLP models, improving intent recognition accuracy and routing efficiency
- Define optimization strategies based on business needs and model performance metrics
- Design and maintain a business label structure to enhance model training and classification quality
- Data and Quality Assurance:
- Collaborate with customer service teams to design and implement high-quality data labeling processes
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Conduct regular quality reviews of model outputs, validating results and driving continuous improvement initiatives
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Data Analysis and Monitoring:
- Build and maintain data monitoring systems to track model performance, detect anomalies, and identify root causes
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Analyze performance trends and use data-driven insights to propose actionable optimizations for both models and operational workflows
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Cross-team Collaboration and Communication:
- Act as a bridge between business and algorithm teams, ensuring technical solutions are aligned with operational goals
- Communicate complex AI concepts and project updates clearly and effectively to non-technical stakeholders
Qualifications
Minimum Qualifications
- Bachelor's degree with 2+ years of relevant experience in operations (AI/NLP operations, product operations, or data analysis) or equivalent practical experience (e.g., 4+ years of relevant experience without a degree).
- Strong understanding of NLP models (e.g., BERT, GPT) and their practical business applications
- Quick to learn and adapt, with the ability to master complex business processes and AI logic
- Exceptional problem-solving skills, with the ability to independently analyze issues and drive solutions to completion
Preferred Qualifications
- Familiarity with AI tools and platforms for model training, fine-tuning, and evaluation, particularly in the context of customer service applications
About USDS
TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.
On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy – a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
USDS Reasonable Accommodation
USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $88000 - $151112 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
AI Specialist Jobs by Experience Level
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Find AI Specialist JobsAI Specialist Job Market
Who's Hiring
- Meridial142

- Amazon Web Services49

- Booz Allen Hamilton12

- Google10

- JPMorganChase10

Top Industries Hiring
- Technology & Software29
- Banking & Financial Services10
- Education9
- Healthcare & Medical Services6
- Investment & Asset Management4
What Employers Look For
The qualifications that appear most often in AI specialist jobs.
- Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow
- Experience designing, training, and deploying machine learning or deep learning models
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for model serving
- Strong foundation in statistics, linear algebra, and probability theory
- Experience with MLOps tools for model versioning, monitoring, and pipeline automation
- Bachelor's or master's degree in computer science, data science, or a related quantitative field
Tips for Your AI Specialist Job Search
Tailor your resume to model types
Hiring managers scan for the specific model architectures you've worked with, such as transformer-based LLMs, diffusion models, or reinforcement learning systems. Name them explicitly in your experience bullets rather than describing AI work in general terms.
Show production deployments, not just experiments
Recruiters for ai specialist roles want evidence that your models left a notebook and ran in production. Quantify throughput, latency improvements, or error-rate reductions from deployed systems rather than listing Kaggle competitions or coursework projects.
Filter openings by the ML stack they use
Many ai specialist postings bury their required tools in the middle of a long description. Search by framework names like PyTorch, TensorFlow, or Hugging Face alongside the job title to surface roles that actually match your hands-on experience.
Apply early to roles that fit
Migrate Mate lists ai specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design answer for AI pipelines
Most senior ai specialist interviews include a whiteboard or verbal exercise where you design a full ML pipeline from data ingestion to serving. Practice explaining data versioning, feature stores, model registries, and monitoring layers before your first technical screen.
Negotiate on compute access, not just salary
AI specialists often find that GPU cluster access, cloud budget, and dataset licensing matter more to day-to-day productivity than title alone. Ask about compute resources and data infrastructure before accepting an offer so you know what you're actually working with.
AI Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most ai specialists?
The companies hiring the most ai specialists right now include Meridial, Amazon Web Services, and Booz Allen Hamilton, with the largest share of openings in Texas, California, and New York, based on current listings on Migrate Mate as of November 2026. Demand is concentrated in technology, financial services, and healthcare, though manufacturing and logistics employers are adding ai specialist roles at a growing pace.
How many ai specialist jobs are remote?
About 72% of ai specialist openings are fully remote or hybrid as of November 2026, making it one of the more location-flexible technical roles available. Research, NLP engineering, and model evaluation work tends to be most remote-friendly, while roles involving proprietary on-premise hardware or regulated data environments are more likely to require on-site presence.
How do you become an ai specialist?
Start by building a strong foundation in Python, linear algebra, and probability, then work through core machine learning concepts using open datasets to develop real projects you can show. Pursue a degree or structured program in computer science or data science if you haven't already, add hands-on experience with frameworks like PyTorch or TensorFlow, and document at least one end-to-end deployment in a public portfolio before applying.
Can you get hired as an ai specialist with little or no experience?
Entry-level ai specialist roles exist, but they typically require demonstrated technical ability even without a long work history. Build a portfolio of self-directed projects that show model training, evaluation, and deployment rather than just course completions. Target companies with dedicated ML infrastructure teams where junior specialists have structured mentorship, and apply to roles explicitly labeled associate, junior, or entry-level rather than generic ai specialist postings aimed at mid-career candidates.
What does the ai specialist interview process look like?
Most ai specialist interviews begin with a recruiter screen focused on your background and the role, followed by a technical phone screen covering Python, statistics, and ML fundamentals. Later rounds typically include a take-home or live coding exercise involving model training or evaluation, a system design session where you architect an ML pipeline, and a final round with cross-functional stakeholders or senior engineers who assess research judgment and communication.
Where can I find and apply to ai specialist jobs?
You can find and apply to ai specialist jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your skills and experience, then apply directly to each one that fits.
See All 751+ AI Specialist Jobs
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