Remote AI Model Trainer Jobs
Remote AI Model Trainer jobs are open across the U.S. in sectors including AI research, edtech, enterprise software, and consumer technology, with distributed teams at companies ranging from early-stage AI startups to large technology firms. Employers hiring remotely right now include Alpheva AI, BlackRock, and GliaCell Technologies. Find a role that fits below and apply directly.
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About the Opportunity
We're looking for an experienced Centralized Trader & Portfolio Analyst to join our growing investment operations team.
This is a fully remote position supporting financial advisors across our organization, with a primary focus on securities trading, portfolio rebalancing, and investment analysis.
The ideal candidate is detail-oriented, analytical, comfortable working independently, and experienced in managing trading activity across multiple client accounts.
Prior hands-on experience with LPL Financial's ClientWorks Rebalancer is mandatory. We're looking for someone who already understands the platform and can hit the ground running.
This is an excellent opportunity for someone who enjoys the technical and analytical side of wealth management and wants to play an important role in supporting a growing national advisory firm.
Key Responsibilities
- Execute and oversee daily trading activity across client accounts, predominantly relating to custom model portfolio rebalances, tax-loos harvesting, and occassional ETF and mutual funds review and selection.
- Manage portfolio rebalancing using LPL ClientWorks Rebalancer, ensuring trades are executed accurately and efficiently.
- Monitor client portfolios for allocation drift, cash balances, investment restrictions, and rebalancing opportunities.
- Analyze portfolio allocations, holdings, performance, and risk exposures to help support investment decisions.
- Work closely with financial advisors to implement portfolio changes, investment strategies, and model updates.
- Assist with portfolio transitions, cash management, and the investment of new client assets.
- Review trade activity for accuracy and help resolve trading discrepancies or operational issues.
- Coordinate with custodians, trading platforms, and internal teams to ensure smooth execution and settlement.
- Identify opportunities to improve trading workflows, operational efficiencies, and portfolio management processes.
- Maintain accurate records and follow established trading procedures and compliance requirements.
- Support the continued development and expansion of Perennial's centralized trading capabilities.
Required Qualifications
- Minimum 3 years of experience in securities trading, portfolio rebalancing, investment operations, or a closely related role within the financial services industry.
- Demonstrated hands-on experience with LPL ClientWorks Rebalancer. This is a firm requirement and candidates without this experience will not be considered.
- Active FINRA Series 7 and Series 66 licenses, or qualifying equivalent registrations where applicable.
- Strong understanding of investment products, including stocks, ETFs, mutual funds, and fixed income.
- Experience with portfolio allocation, trading workflows, and rebalancing methodologies.
- Strong analytical skills and exceptional attention to detail.
- Ability to manage multiple priorities and work accurately in a fast-paced environment.
- Excellent communication skills and a collaborative, team-oriented approach.
- Comfortable working independently in a fully remote environment.
- Strong proficiency with Microsoft Excel and financial services technology.
Preferred Qualifications
- Previous experience supporting multiple financial advisors within an independent RIA, hybrid RIA, or broker-dealer.
- Familiarity with additional custodial platforms, particularly LPL, Fidelity and Charles Schwab.
- Experience with portfolio management and rebalancing systems such as iRebal or Orion.
- Experience with model portfolio implementation, tax-aware trading, and portfolio transition management.
- Familiarity with investment performance reporting and portfolio analytics.
- Experience helping improve or scale centralized trading operations.
Compensation & Benefits
We offer a competitive compensation package designed to attract and retain talented professionals.
- Annual base salary depending on qualifications and experience.
- Eligibility for a discretionary performance-based bonus.
- Fully remote work environment.
- Benefits and paid time off in accordance with company policies and eligibility requirements.
- Opportunities for professional development and career advancement.
- A collaborative and supportive team environment within a growing national organization.
About Perennial Financial Services
Perennial Financial Services is a nationally recognized, independent wealth management firm serving individuals, families, and businesses across the country. Founded in 2004, we've grown into a multibillion-dollar organization supporting more than 50 financial advisors across multiple states.
Our success has been built around a simple philosophy: provide advisors with the independence to run their businesses while giving them the technology, resources, and support they need to thrive.
We're proud of our collaborative culture, entrepreneurial mindset, and commitment to doing what's right for our clients and advisors. As we continue to grow, we're looking for talented professionals who want to contribute to that success and help us build an even stronger organization.
Why Join Perennial?
At Perennial, we believe our people are one of our greatest assets.
We're large enough to provide meaningful resources, sophisticated technology, and opportunities for professional growth, but still small enough that individual contributions make a real difference.
You'll have the opportunity to work directly with experienced financial professionals, contribute to the continued development of our trading operations, and help support a firm that's constantly looking for ways to improve.
We value initiative, accountability, collaboration, and people who take pride in their work. If you're someone who enjoys solving problems, improving processes, and being part of a growing organization, we'd love to hear from you.
How to Apply
Please submit your resume along with a brief overview of your experience with LPL ClientWorks Rebalancer, including how you've used the platform in your current or previous roles.
Please note: Prior hands-on experience with LPL ClientWorks Rebalancer and the required securities licenses are mandatory for consideration.
Perennial Financial Services is an equal opportunity employer. Employment decisions are based on qualifications, merit, and business needs, without regard to any status protected by applicable law.
Pay: $75,000.00 - $95,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Paid sick time
- Paid time off
- Retirement plan
- Vision insurance
Experience:
- professional securities trading or portfolio rebalancing: 3 years (Preferred)
- direct, hands-on experience using LPL ClientWorks Rebalancer: 1 year (Required)
- working with an RIA, hybrid RIA, or broker-dealer: 1 year (Preferred)
License/Certification:
- FINRA Series 7 and Series 66 licenses (Required)
Work Location: Remote
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Who's Hiring


Top Industries Hiring
- Technology & Software
- Education
- Insurance
- Automotive
- Sports & Recreation
What Employers Look For
The qualifications that appear most often in remote AI model trainer jobs.
- Experience with data annotation, labeling, or content evaluation tasks
- Familiarity with RLHF, preference ranking, or reinforcement learning workflows
- Strong written communication skills and subject-matter expertise in at least one domain
- Ability to follow detailed annotation guidelines consistently and accurately
- Bachelor's degree or equivalent experience in a relevant field such as linguistics, computer science, or a domain specialty
- Comfort working with annotation platforms, internal tooling, or spreadsheet-based evaluation workflows
Tips for Your Remote AI Model Trainer Job Search
Build a public annotation portfolio now
Remote ai model trainer employers can't watch you work, so your output has to speak first. Publish labeled datasets, model evaluation write-ups, or prompt engineering experiments to a public repository so hiring managers can assess quality before the first interview.
Apply early to remote roles that fit
Migrate Mate lists remote ai model trainer openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through unrelated listings or location-restricted postings.
Sharpen your async written communication
Remote ai model trainer teams collaborate through written documentation, Slack threads, and annotated feedback rather than live meetings. Practice writing annotation guidelines and model feedback reports that a teammate in a different time zone can act on without asking clarifying questions.
Get fluent in remote annotation and evaluation tools
Hands-on experience with tools like Label Studio, Scale AI's interface, or RLHF platforms signals to remote employers that you can contribute from day one. Name the specific tools you've used and describe the type of model outputs you evaluated in your application materials.
Remote AI Model Trainer Jobs: Frequently Asked Questions
How do I get a remote ai model trainer job?
Remote ai model trainer roles go to candidates who can demonstrate strong self-direction, clear written communication, and deep familiarity with annotation tools, prompt engineering, and model evaluation frameworks. Remote employers screen heavily for the ability to work asynchronously without close supervision, so a portfolio of labeled datasets, benchmark evaluations, or published fine-tuning projects gives you a concrete edge over candidates who only list skills.
Which companies hire remote ai model trainers?
Companies hiring remote ai model trainers right now include Alpheva AI, BlackRock, and GliaCell Technologies, based on current remote listings on Migrate Mate as of November 2026. Remote-first AI labs, enterprise software companies building generative AI products, and distributed edtech firms are the most consistent sources of remote ai model trainer openings.
Can you get a remote ai model trainer job with no experience?
Yes, but remote entry-level ai model trainer roles are harder to land because employers expect you to manage your own workflow and quality from day one with minimal hand-holding. The clearest path in is completing public data annotation projects, contributing to open-source model evaluation efforts, or completing a structured AI training program, then presenting that work as a portfolio rather than relying on a resume alone.
Do you need a degree for remote ai model trainer jobs?
Not always. Remote employers in this field care far more about demonstrated ability to evaluate model outputs, write clear annotation guidelines, and work consistently without oversight than about the credential on your diploma. A strong portfolio of model evaluation work, annotation samples, or prompt engineering results routinely outweighs a degree, especially at remote-first companies where output quality is the primary filter.
Which industries hire the most remote ai model trainers?
Most remote ai model trainer openings sit in Technology & Software, Education, and Insurance, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed teams to scale model training and evaluation work quickly across time zones without requiring on-site presence.
See All 69 Remote AI Model Trainer Jobs
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Find Remote AI Model Trainer Jobs