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About This Role
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
As a Claims Resolution Adjuster, your main focus will be investigating automobile accidents involving bodily injury. You will have the convenience of working remotely from your home while efficiently handling your responsibilities. You will assess coverage, liability, and damages while providing exceptional customer service throughout your day. Customer communication will take place through different channels, including voice calls, email, and text messages. Through the utilization of innovative platforms and tools, you will engage in negotiation processes to reach fair injury settlements with all parties involved.
The Claims Resolution Adjuster will primarily be responsible for the liability investigation and ultimate decisions, identifying injured parties beyond who is listed at FNOL (First Notice of Loss), and recognizing impactful risk potential on claim files. They will be responsible for supporting the claimant throughout the vehicle restoration process and providing feedback on the Auto process in general. The Claims Resolution Adjuster and Casualty Adjusters will work hand\-in\-hand throughout the claims process.
Candidates for this role must reside in either the Central (CST), Mountain (MST), or Pacific (PST) time zone. This position is not available to residents of California, Washington, Alaska, Hawaii, or Puerto Rico.
Schedule: 8\-hour shift Mon\-Fri \| 8:00am \- 4:30pm or 9:00am \- 5:30pm with potential Saturday duty rotation.
You’ll wear a few hats to fill a few roles throughout your day that all require a level of experience:
The Customer Service Expert – you’ll live into Allstate’s Claims Culture by caring, empowering, and restoring, and you will accomplish that by being compassionate, clear, and a committed partner in each Casualty claim. You lead with empathy, always.
The Investigator – you’ll confidently and independently investigate casualty (and applicable LOB (line of business)) claims by performing detailed reviews of damage and interpreting policies to determine coverage.
The Effective Communicator – you’ll use phone, emails and sometimes even video chat with customers to help them through a fast, fair, and easy claims process. You’ll also incorporate a specific approach to claim handling to offer the customer their preference of communication to efficiently discuss their claim needs and keep them updated on the claim progress.
The Negotiator – you will evaluate and negotiate claims settlements with customers, vendors, third party carriers and claimants, in accordance with all legal and business standard methodologies. With negotiations, you will incorporate tactics in handling challenging and complex situations.
The Problem Solver – you’ll utilize multiple tools to get the job done in a fast\-paced environment, including estimate tools, job aids, and additional settlement platforms, all while using your sharp critical thinking skills.
The Recorder – you’ll protect the company financially by executing policies along policy agreements, and you keep a clear record of your work in a claims system that you will be trained on. You’ll accomplish this by ensuring timely and accurate documentation is completed as you work on each claim.
Qualifications:
- 2\+ years Claims experience, specifically Casualty Bodily Injury claims background.
- Claims investigation and negotiation experience is preferred.
- Experience with liability investigations, investigating coverage, PD coverage, set MOI, rental and resolving liability a plus.
- Proficient communication skills, especially over the phone, to establish rapport and assess claims accurately.
- Strong critical thinking and problem\-solving skills to evaluate and negotiate injury claims successfully.
Remote Work:
This position is a permanent remote home\-based role. Your home office does not need to be near an Allstate office, but it does need to be in the United States within one of the listed time zones above.
When you work from home full time, you’ll need:
- A dedicated workspace in your residence that is private and free from distractions.
- A minimum internet bandwidth of 50 MB down/5 MB up.
- Appropriate work surface and seating.
What will Allstate provide?
- A technology bundle that includes all equipment needed to perform your work from home (laptop, monitors, headset, keyboard, mouse).
- Connectivity reimbursement of $80 per month to offset some of the cost of internet.
Notice of Licensing Requirement
- As a condition of employment, your office/area may require you to obtain an adjuster and/or an appraiser license which includes passing an additional background check with the Department of Labor. If applicable, you will be required to secure license(s) within 60 days of hire.
- If required, the Hiring Manager will work with you along with the Centralized Licensing team to ensure that you are properly licensed.
Sign\-On Bonus:
You may be eligible for a $1,000 Licensing Sign\-On Bonus if you have the applicable active licenses needed for this role. This could include Home Resident Property \& Casualty License, Designate Home State (DHS) Florida or Texas License, and/or applicable Appraiser License.
\**Candidates who have previously worked for and are seeking to be rehired at Allstate and its family of companies are not eligible for this sign\-on bonus.*\*
Allstate Benefits
Being a part of Allstate means you receive a benefits package from Day 1 of employment. This includes time off, healthcare, retirement, and more. That is why as an Allstater, you’ll enjoy a Total Rewards package that includes:
- Competitive pay with needed support for continuous development and career advancement.
- Flexibility in scheduling and a time off policy that helps support your work/life balance.
- Initial and ongoing training to get you proficient in your new role
- Comprehensive benefits like a 401K/pension, education reimbursement, and programs to help you balance work with the rest of your life. Visit www.allstategoodlife.com to learn more.
Please Note:
- In our virtual environment, employees are required to engage and participate on camera during online meetings and trainings
- The preceding description is not designed to be a complete list of all duties and responsibilities. May be required to perform other related duties as assigned. Regular, predictable attendance is an essential function of this job.
\#LI\-BC1
Skills
Compensation
Compensation offered for this role is 20\.77 \- 32\.67 per hour and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.
Allstate generally does not sponsor individuals for employment\-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
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To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
Salary Context
This $41K-$66K range is below the median for AI/ML Engineer roles in our dataset (median: $100K across 15465 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 26,159 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At Allstate Insurance, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $166,983 based on 13,781 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $131,300. This role's midpoint ($54K) sits 68% below the category median. Disclosed range: $41K to $66K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
Allstate Insurance AI Hiring
Allstate Insurance has 13 open AI roles right now. They're hiring across AI/ML Engineer, Data Scientist, AI Software Engineer, AI Product Manager. Positions span Remote, US, Charlotte, NC, US. Compensation range: $66K - $209K.
Remote Work Context
Remote AI roles pay a median of $156,000 across 1,221 positions. About 7% of all AI roles offer remote work.
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (2,416) are outnumbered by mid-level (16,247) and senior (5,153) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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