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Executive Data Labeler Jobs (NOW HIRING)

INSPYR Solutions

Data & Observability Architect

Dallas, TX · On-site

$200K - $325K/yr

... Executives, Developers, Platform etc. * Build and guide transparency around cost, observability and resiliency of the observability platform. * Define and enforce data governance for telemetry (label ...

Td

Data Scientist III - FCRM Risk Modeling

Boston, MA

$96K - $155K/yr

Position typically deals with senior/executive management * Works independently on activities ... labeling solutions Customer Accountabilities: * Works closely with business owners to identify ...

TD

Data Scientist III - FCRM Risk Modeling

Boston, MA

$96K - $155K/yr

Position typically deals with senior/executive management * Works independently on activities ... labeling solutions Customer Accountabilities: * Works closely with business owners to identify ...

LVT

Staff Data Engineer

Seattle, WA

$130K - $156K/yr

Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025 , and our CTO, Steve Lindsey ... Labels & Annotation Data Lifecycle: Own how labels and semantic annotations are appended to ...

LVT

Staff Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey ... Labels & Annotation Data Lifecycle: Own how labels and semantic annotations are appended to ...

HumanSignal

Director of Finance

San Francisco, CA · On-site

... standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We ... Reporting directly to the CEO, you'll own financial planning, business analytics, and the metrics ...

HumanSignal

Director of Finance

San Francisco, CA

... standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We ... Reporting directly to the CEO, you'll own financial planning, business analytics, and the metrics ...

Innodata Inc.

Account Executive

$150K - $180K/yr

INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI ... Scaling model operations, triage, labeling, and developer platform support. * CxO Engagement: Build ...

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All JobsExecutive Data Labeler Jobs

Executive Data Labeler information

See salary details

$49.5K

$76.2K

$107.5K

How much do executive data labeler jobs pay per year?

As of Jun 29, 2026, the average yearly pay for executive data labeler in the United States is $76,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $97,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Data Labeler vs Data Annotator?

AspectExecutive Data LabelerData Annotator
CredentialsHigh school diploma or equivalent; some roles prefer certifications in data managementHigh school diploma or equivalent; basic training often provided
Work EnvironmentOffice or remote; collaborative with data science teamsOffice or remote; focused on labeling data under supervision
Industry UsageUsed in AI/ML projects, data management teamsUsed in AI/ML data preparation, machine learning workflows
Search/Comparison IntentHigh overlap in data labeling tasks, with added responsibilities for quality control

Executive Data Labelers typically handle complex data labeling tasks with some oversight, often requiring additional skills or certifications. Data Annotators focus on basic labeling tasks, usually with less experience needed. Both roles are essential in AI/ML projects, but Executive Data Labelers often have more responsibilities and work closely with data science teams.

More about Executive Data Labeler jobs
What cities are hiring for Executive Data Labeler jobs? Cities with the most Executive Data Labeler job openings:
What are the most commonly searched types of Data Labeler jobs? The most popular types of Data Labeler jobs are:
What states have the most Executive Data Labeler jobs? States with the most job openings for Executive Data Labeler jobs include:
What job categories do people searching Executive Data Labeler jobs look for? The top searched job categories for Executive Data Labeler jobs are:
Executive Data Labeler jobs near you
Infographic showing various Executive Data Labeler job openings in the United States as of June 2026, with employment types broken down into 14% Internship, 29% Temporary, 43% Contract, and 14% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,244 per year, or $36.7 per hour.
Data & Observability Architect

Data & Observability Architect

INSPYR Solutions

Dallas, TX • On-site

$200K - $325K/yr

Full-time

Posted 26 days ago

Job description

Title: Data & Observability Architect
Location: Dallas, TX (HYBRID and Relocation Assistance Provided)
Duration: Permanent Direct Hire
Compensation: $200K - $325K base salary, plus bonus
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
Data & Observability Architect
The Data & Observability Architect will define and lead the strategy for collecting, storing, and serving observability data across the engineering organization. This role will ensure consistency, cost-effectiveness, and actionable insights from diverse telemetry sources spanning Data Center, Compute, Network, Storage, Kubernetes, HPC as a Service, Schedulers, and Applications. The architect will establish a taxonomy for observability data, implement tiered storage and retrieval strategies, and tailor insights for different consumer personas (finance, operations, executives, developers).
Responsibilities:
  • Define/maintain a unified observability taxonomy across metrics, logs, traces; helping design a traceable observability platform.
  • Design and implement ingestion → storage → retrieval pipelines with automation for large-scale observability data with tiered retention (hot/warm/cold).
  • Architect observability across all infrastructure layers (DC, network, storage, compute, Kubernetes, HPC, apps) - with multi-tenancy.
  • Establish tech stack standards (e.g., VictoriaMetrics, Loki, Tempo, OpenTelemetry, Coralogix) for different observability signals.
  • Help build persona-oriented views for Finance, Operation, Executives, Developers, Platform etc.
  • Build and guide transparency around cost, observability and resiliency of the observability platform.
  • Define and enforce data governance for telemetry (label taxonomy, cardinality budgets, PII handling etc.).
  • Partner with Platform, Security, and Solution Architecture teams to ensure observability onboarding, integrates with compliance, incident response, and developer workflows.
  • Coach engineering teams on OpenTelemetry instrumentation and best practices for emitting metrics/logs/traces.

Required Skills:
  • Strong expertise in observability platforms: Prometheus/VictoriaMetrics, Grafana, Loki/ELK, Tempo/Jaeger, OpenTelemetry.
  • Experience designing large-scale telemetry pipelines with ingestion, retention, and query optimization.
  • Experience reducing MTTD/MTTR by implementing detective, preventive and proactive monitoring/controls.
  • Familiarity with SRE principles: SLIs, SLOs, error budgets, burn-rate alerting.
  • Knowledge of data governance in observability contexts (taxonomy, labeling, cardinality control, PII redaction).
  • Hands-on skills with data pipelines (Kafka, Fluent Bit, Vector, Airflow) and object storage for archival.
  • Strong communication and documentation skills to serve diverse stakeholders (finance, ops, exec, dev).

Preferred Experience:
  • 12+ years in SRE, Platform Engineering, or Data Engineering with a focus on observability.
  • Proven track record in building enterprise-wide observability strategies for hybrid/on-prem + cloud environments.
  • Experience with high-performance computing (HPC) telemetry and schedulers (Slurm, LSF).
  • Experience with Resilience and Business Continuity.
  • Exposure to multi-cloud observability integration (e.g., AWS CloudWatch, Azure Monitor) alongside on-prem stacks.
  • Familiarity with cost modeling and chargeback tied to resource telemetry.
  • Prior leadership in designing persona-based observability views for technical and business consumers.

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/ . By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.
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