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Remote Nlp Jobs in Alaska (NOW HIRING)

York Risk Services

Principal Data Scientist

Minto, AK · On-site +1

Architectmodelingapproachesthatleveragemoderntechniquessuchasgradientboosting,deeplearning,NLP ... Strongmentoringandtechnicalleadershipcapabilities. #LI-TS1 #remote Sedgwickis an Equal Opportunity ...

Sedgwick

Principal Data Scientist

Minto, AK · On-site +1

Architectmodelingapproachesthatleveragemoderntechniquessuchasgradientboosting,deeplearning,NLP ... Strongmentoringandtechnicalleadershipcapabilities. #LI-TS1 #remote Sedgwickis an Equal Opportunity ...

All JobsNlp JobsRemote Nlp JobsRemote Nlp Jobs in Alaska

Remote Nlp information

See Alaska salary details

$89.9K

$136.8K

$184.2K

How much do remote nlp jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote nlp in Alaska is $136,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,400.00 and $154,500.00 per year, depending on experience, location, and employer.

What types of projects or daily tasks are typical for a Remote NLP professional?

As a Remote NLP professional, your daily work often involves developing, testing, and deploying models that analyze or generate human language, such as chatbots, text classifiers, sentiment analyzers, or recommendation systems. You might spend time cleaning and preprocessing large datasets, collaborating with data scientists or engineers on model optimization, and communicating results to non-technical stakeholders. Remote NLP roles also require strong documentation and regular virtual check-ins to stay aligned with project goals. This environment offers the flexibility of remote work while engaging with innovative projects at the intersection of AI and language.

What is a Remote NLP job?

A Remote NLP (Natural Language Processing) job involves working on language-related AI tasks such as text analysis, machine learning models, and chatbot development from a remote location. These roles typically require expertise in programming languages like Python, NLP libraries (e.g., spaCy, NLTK, or Transformers), and machine learning techniques. Remote NLP professionals collaborate with teams online to develop language models, improve search algorithms, and enhance automated text processing systems.

What are the key skills and qualifications needed to thrive in the Remote Nlp position, and why are they important?

To thrive as a Remote NLP (Natural Language Processing) professional, you need strong programming skills (often in Python), a solid understanding of machine learning and linguistics, and typically a degree in computer science or a related field. Experience with NLP libraries such as NLTK, spaCy, or Hugging Face Transformers, and familiarity with cloud-based development platforms are highly beneficial. Outstanding communication, problem solving, and self-motivation are crucial for effective collaboration in a remote environment. These combined technical and soft skills are essential for building robust language-based AI solutions while staying productive and engaged as part of a distributed team.

What are the most commonly searched types of Nlp jobs in Alaska? The most popular types of Nlp jobs in Alaska are:
What are popular job titles related to Remote Nlp jobs in Alaska? For Remote Nlp jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Remote Nlp jobs in Alaska look for? The top searched job categories for Remote Nlp jobs in Alaska are:
What cities in Alaska are hiring for Remote Nlp jobs? Cities in Alaska with the most Remote Nlp job openings:
Remote Nlp jobs near you
Infographic showing various Remote Nlp job openings in Alaska as of July 2026, with employment types broken down into 3% Locum Tenens, 10% As Needed, 73% Full Time, 3% Part Time, 5% Contract, and 6% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $136,805 per year, or $65.8 per hour.

Principal Data Scientist

York Risk Services

Minto, AK • On-site, Remote

Other

Posted 17 days ago

Job description

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies

Certified as a Great Place to Work

Fortune Best Workplaces in Financial Services & Insurance

Principal Data Scientist

JobResponsibilities

  • Leadthedesignanddevelopmentofadvancedstatisticalandmachinelearningmodelsthatimproveclaimsoutcomes,operationalefficiency,andriskmanagement.
  • Serveasthetechnicalauthorityforcomplexmodelinginitiativesincludingfrauddetection,claimsseverityprediction,litigationriskmodeling,andrecoveryoptimization.
  • Developpredictiveandprescriptivemodelsusingstructuredandunstructuredclaimsdata,includingadjusternotes,medicalrecords,andpolicydocumentation.
  • Architectmodelingapproachesthatleveragemoderntechniquessuchasgradientboosting,deeplearning,NLP,anomalydetection,andprobabilisticmodeling.
  • PartnerwithAIEngineeringteamstoproductionizemodelsandintegratethemintoenterpriseAIplatformsandoperationalsystems.
  • Designfeatureengineeringstrategiesandmodelingpipelinesusinglarge-scaleenterprisedatasets.
  • Establishbestpracticesformodeldevelopment,experimentation,validation,andreproducibility.
  • Leadadvancedanalyticaltechniquessuchascausalinference,scenariosimulation,andriskscoringmethodologies.
  • Buildandmaintainmodelevaluationframeworksthatmeasureaccuracy,bias,stability,andbusinessimpact.
  • Monitordeployedmodelsfordrift,degradation,andchangingdatadistributions,andrecommendrecalibrationstrategies.
  • Providetechnicalguidancetodatascientistsandanalystsacrosstheorganization.
  • Mentorjuniorteammembersonstatisticalmethods,machinelearningtechniques,andanalyticalrigor.
  • Translatecomplexanalyticalfindingsintoclear,actionableinsightsforbusinessleadersandoperationalteams.
  • CollaboratewithClaimsOperations,Finance,Risk,andITstakeholderstoidentifyhigh-impactanalyticalopportunities.
  • Evaluateexternaldatasourcesandthird-partyanalyticalsolutionsthatenhancepredictivecapabilities.
  • Ensureanalyticalmethodologiesalignwithenterprisegovernancestandardsandregulatoryexpectations.
  • ContributetoSedgwick'sbroaderAIandadvancedanalyticsstrategybyidentifyingemergingtechnologiesandmodelingapproaches.
  • LeadresearchandinnovationinitiativesthatadvanceSedgwick'spredictiveanalyticscapabilities.

Qualifications

  • Master'sorPhDinDataScience,Statistics,Mathematics,ComputerScience,Economics,orrelatedquantitativediscipline.
  • 8-12+yearsofexperienceindatascience,statisticalmodeling,oradvancedanalyticsroles.
  • Deepexpertiseinmachinelearningalgorithms,statisticalmodelingtechniques,andpredictiveanalyticsmethodologies.
  • StrongprogrammingskillsinPython,R,orsimilaranalyticallanguages.
  • Extensiveexperienceworkingwithlarge,complexdatasetsinenterpriseenvironments.
  • Provenexperiencedesigningandimplementingend-to-endmodelingpipelines.
  • Strongunderstandingofmodelvalidation,featureengineering,andperformanceevaluationtechniques.
  • Experiencecollaboratingwithengineeringteamstodeploymodelsintoproductionsystems.
  • Familiaritywithdistributeddataprocessingtoolsandmoderndataplatformspreferred.
  • Experienceininsurance,claimsmanagement,healthcare,orfinancialservicesanalyticspreferred.
  • Abilitytocommunicateadvancedanalyticalconceptstobothtechnicalandnon-technicalstakeholders.
  • Demonstratedabilitytoleadcomplexanalyticalinitiativesthatdrivemeasurablebusinessvalue.
  • Strongmentoringandtechnicalleadershipcapabilities.

#LI-TS1 #remote

Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.

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