ZipRecruiter

Log In

2

Weekend Remote Artificial Intelligence Finance Jobs

GXM Consulting

Artificial Intelligence (AI) Lead Tester

$48.50 - $66.25/hr

GXM Technologies is seeking an Artificial Intelligence (AI) Lead Tester to provide both hands-on ... This position is Remote with Ad-Hoc travel possible but not expected. Responsibilities * Manage and ...

Statheros

Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...

Oscar Health

Manager, Strategic Finance

Atlanta, GA · Remote

$111K - $145K/yr

This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

next page

Showing results 1-20

All JobsWeekend Remote Artificial Intelligence Finance Jobs

Weekend Remote Artificial Intelligence Finance information

See salary details

$43K

$81.7K

$133K

How much do weekend remote artificial intelligence finance jobs pay per year?

As of Jul 2, 2026, the average yearly pay for weekend remote artificial intelligence finance in the United States is $81,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Remote Artificial Intelligence Finance vs Weekend Remote Data Science Finance?

AspectWeekend Remote Artificial Intelligence FinanceWeekend Remote Data Science Finance
Required CredentialsTypically requires a degree in AI, Computer Science, or related fields; certifications in AI or machine learning are commonUsually requires a degree in Data Science, Statistics, or related fields; certifications in data analysis or visualization are common
Work EnvironmentRemote, project-based, often collaborative with AI teamsRemote, analytical, often involves data modeling and reporting
Employer & Industry UsageFinancial firms, fintech startups, AI-focused companiesFinancial institutions, investment firms, analytics companies

Weekend Remote Artificial Intelligence Finance and Weekend Remote Data Science Finance share similarities in remote work and finance industry focus. However, AI roles emphasize machine learning and AI-specific skills, while Data Science roles focus on data analysis and statistical modeling. Both are in high demand for financial applications but differ in technical specialization.

More about Weekend Remote Artificial Intelligence Finance jobs
What cities are hiring for Weekend Remote Artificial Intelligence Finance jobs? Cities with the most Weekend Remote Artificial Intelligence Finance job openings:
What states have the most Weekend Remote Artificial Intelligence Finance jobs? States with the most job openings for Weekend Remote Artificial Intelligence Finance jobs include:
What job categories do people searching Weekend Remote Artificial Intelligence Finance jobs look for? The top searched job categories for Weekend Remote Artificial Intelligence Finance jobs are:
Weekend Remote Artificial Intelligence Finance jobs near you
Infographic showing various Weekend Remote Artificial Intelligence Finance job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $81,728 per year, or $39.3 per hour.
Artificial Intelligence/Machine Learning Engineer Specialist

Artificial Intelligence/Machine Learning Engineer Specialist

Connect Tech+Talent

Austin, TX • On-site, Remote

Other

Posted 7 days ago

Job description

Job Description Artificial Intelligence/Machine Learning Engineer Specialist Austin, Texas (Hybrid OR Fully Remote) Contract Minimum: 6+ Years - Applied AI/ML pipeline development and deployment for large-scale data reconciliation programs; production experience building anomaly-detection, root-cause analysis, and exception classification models using PyTorch, Scikit-learn, and Azure Machine Learning in regulated financial or government environments 6+ Years - Azure data platform engineering including Azure Databricks, Azure Data Factory, Azure Synapse Analytics, and Delta Lake; demonstrated ability to design automated, auditable reconciliation workflows eliminating manual row- and aggregate-level validation across multi-terabyte datasets 10+ Years - Advanced T-SQL and PL/SQL development across SQL Server and Oracle including stored procedures, partition switching, columnstore indexing, and query optimization sustaining sub-second query response for high-volume ETL and dashboard workloads 6+ Years - Rule-based exception classification pipelines and prioritized work queue construction; experience translating 30+ stakeholder control scenarios (finance, actuarial, risk) into automated validation logic, acceptance criteria, and agile backlog items 4+ Years - Cloud-native ingestion pipeline engineering with Azure Data Factory, Azure Service Bus, and Azure Functions; schema validation, data lineage management with Azure Purview, and containerized micro-service deployment via Docker, AKS, and Git-based CI/CD 4+ Years - Production model monitoring and drift detection using Azure Monitor metrics and custom drift detectors; MLflow experiment tracking and gradient-boosting ensemble tuning ensuring validation models retain statistical power across evolving data volumes and product mixes Preferred: 4+ Years - Continuous data quality enforcement using Great Expectations and parameterized pytest suites; experience validating 100+ reconciliation rules on synthetic and production samples with automated regression coverage for SOX, PCI-DSS, or HIPAA-regulated audit environments 3+ Years - Legacy system data migration experience involving COBOL or mainframe source environments (AWS Glue, Redshift, or equivalent); aggregate validation checks, tolerance-threshold variance surfacing, and actuarial or regulatory sign-off workflows for government or healthcare modernization programs 3+ Years - Azure Purview data lineage and metadata management; Delta Lake compaction, ACID semantics, and Parquet optimization for downstream analytics; Azure Key Vault managed identity integration for encryption-in-transit and at-rest compliance across reconciliation artifacts

Apply