

Kastech Software Solutions Group
AI/ML Oversight Specialist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Oversight Specialist on a long-term contract in Austin, Texas (Remote/Hybrid). Key skills include AI/ML architecture validation, Python, data pipeline integrity, and automated testing. Requires 2+ years in production software engineering and data quality experience.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
June 26, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Austin, TX
-
π§ - Skills detailed
#R #Batch #Data Quality #Data Integrity #"ETL (Extract #Transform #Load)" #Python #AI (Artificial Intelligence) #Data Pipeline #Data Migration #Regression #Automated Testing #REST (Representational State Transfer) #REST API #PostgreSQL #API (Application Programming Interface) #ML (Machine Learning) #Documentation #Migration
Role description
π Hiring: AI/ML Oversight Specialist
πAustin, Texas (Remote/Hybrid)
π
Long-Term Contract
The Employees Retirement System of Texas (ERS) is seeking an experienced AI/ML Oversight Specialist with a strong production software engineering background
.
β
AI/ML Architecture Validati
onβ
Data Pipeline Integrity & Quality Assuran
ceβ
Automated Testing & Regression Covera
geβ
AI/ML Pipeline Review & Governan
ceβ
Performance Optimization & Output Validati
onβ
Strong Documentation & Stakeholder Communicati
onIdeal candidates will have hands-on experience validating AI-generated outputs, reviewing data transformation logic, ensuring data quality, and supporting large-scale data migration program
s.
Minim
um:Ye
arsSkills/Experie
nc
e
2+Production software engineering includ
β’ ing:Python backend serv
β’ icesasync pipeline architec
β’ turegRPC/REST API develop
me
nt2+Demonstrated ability to build, ship, and maintain systems at scale with measurable performance outc
om
es2+Regression testing framework design and execu
ti
on2+Experience building automated test infrastructure that provides coverage across complex multi-system workflows, including systems not accessible via standard DOM or API selec
to
rs2+High-volume data pipeline validation including batched ingestion, bulk-load integrity verification, record count reconciliation, and exception identification across large structured data
se
ts1+Clear technical communication of system behavior, and quality findings to cross-functional teams including engineers, product managers, and non-technical stakeholders in a structured delivery environ
ment
Prefe
rred:
YearsSkills/Exper
ie
nce
2+PostgreSQL query optimization, bulk-load performance tuning, and data integrity validation at
scale;experience identifying and resolving data quality issues across high-volume ingestion and transformation pip
el
ines
1+Cross-team code review discipline with demonstrated ability to catch API contract issues, perf
ormanceregressions, and data integrity risks before production; experience reviewing both backend and frontend pull requests across multi-enginee
r
teams
1+Experience in a production engineering environment requiring end-to-end ownership of
qualityoutcomes across multiple product teams or customer-facing services; comfort operating across ambiguous, fast-moving technical environments with high accoun
tability
π Hiring: AI/ML Oversight Specialist
πAustin, Texas (Remote/Hybrid)
π
Long-Term Contract
The Employees Retirement System of Texas (ERS) is seeking an experienced AI/ML Oversight Specialist with a strong production software engineering background
.
β
AI/ML Architecture Validati
onβ
Data Pipeline Integrity & Quality Assuran
ceβ
Automated Testing & Regression Covera
geβ
AI/ML Pipeline Review & Governan
ceβ
Performance Optimization & Output Validati
onβ
Strong Documentation & Stakeholder Communicati
onIdeal candidates will have hands-on experience validating AI-generated outputs, reviewing data transformation logic, ensuring data quality, and supporting large-scale data migration program
s.
Minim
um:Ye
arsSkills/Experie
nc
e
2+Production software engineering includ
β’ ing:Python backend serv
β’ icesasync pipeline architec
β’ turegRPC/REST API develop
me
nt2+Demonstrated ability to build, ship, and maintain systems at scale with measurable performance outc
om
es2+Regression testing framework design and execu
ti
on2+Experience building automated test infrastructure that provides coverage across complex multi-system workflows, including systems not accessible via standard DOM or API selec
to
rs2+High-volume data pipeline validation including batched ingestion, bulk-load integrity verification, record count reconciliation, and exception identification across large structured data
se
ts1+Clear technical communication of system behavior, and quality findings to cross-functional teams including engineers, product managers, and non-technical stakeholders in a structured delivery environ
ment
Prefe
rred:
YearsSkills/Exper
ie
nce
2+PostgreSQL query optimization, bulk-load performance tuning, and data integrity validation at
scale;experience identifying and resolving data quality issues across high-volume ingestion and transformation pip
el
ines
1+Cross-team code review discipline with demonstrated ability to catch API contract issues, perf
ormanceregressions, and data integrity risks before production; experience reviewing both backend and frontend pull requests across multi-enginee
r
teams
1+Experience in a production engineering environment requiring end-to-end ownership of
qualityoutcomes across multiple product teams or customer-facing services; comfort operating across ambiguous, fast-moving technical environments with high accoun
tability






