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Replay Operator Jobs in Boston, MA (NOW HIRING)

CloudZero

Senior CloudOps Engineer

Boston, MA · Remote

Experience operating asynchronous, event-driven systems and reasoning about back-pressure, consumer lag, replay, poison messages, and partial failure (Kafka, Kinesis, SQS, Pulsar, or Step Functions ...

CloudZero

Senior CloudOps Engineer

Boston, MA · On-site

$130K - $190K/yr

Experience operating asynchronous, event-driven systems and reasoning about back-pressure, consumer lag, replay, poison messages, and partial failure (Kafka, Kinesis, SQS, Pulsar, or Step Functions ...

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Replay Operator information

See Boston, MA salary details

$15

$30

$48

How much do replay operator jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for replay operator in Boston, MA is $30.15, according to ZipRecruiter salary data. Most workers in this role earn between $26.11 and $30.58 per hour, depending on experience, location, and employer.

What does a replay operator do?

A Replay Operator is responsible for capturing, preparing, and playing back video replays during live broadcasts, such as sports events or television productions. They use specialized replay systems to review key moments, create slow-motion replays, and assist the production team in storytelling. This role requires quick decision-making, attention to detail, and technical proficiency with broadcast replay equipment. Replay Operators often work in fast-paced environments, ensuring high-quality replays are delivered in real-time.

What are the key skills and qualifications needed to thrive as a replay operator?

To thrive as a Replay Operator, you need a solid understanding of broadcast technology, video editing, and live sports production, often backed by experience in television or digital media environments. Familiarity with replay systems such as EVS, DreamCatcher, or similar broadcast hardware/software platforms is typically required. Strong attention to detail, quick decision-making, and excellent teamwork skills help Replay Operators deliver high-quality replays under pressure. Mastering these abilities is crucial for capturing key moments and ensuring smooth, reliable live broadcasts.

What does a typical shift look like for a replay operator during live sports events?

During live sports events, a Replay Operator works closely with directors, producers, and camera operators to capture, edit, and play back significant moments as they happen. Shifts often involve high-pressure periods of rapid decision-making, especially during crucial plays or reviews, along with downtime before or after the event for setup and review of footage. The role requires strong focus, responsiveness, and collaboration in a fast-paced control room setting. Replay Operators frequently work evenings, weekends, and holidays according to event schedules, making flexibility an asset. With experience, professionals in this field can grow into senior operator or production roles.

What are popular job titles related to Replay Operator jobs in Boston, MA?

For Replay Operator jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Replay Operator jobs in Boston, MA look for?

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Replay Operator jobs near you
Infographic showing various Replay Operator job openings in Boston, MA as of August 2026, with employment types broken down into 77% Full Time, 14% Part Time, 5% Temporary, 2% Contract, and 2% Nights. Highlights an 100% In-person job distribution, with an average salary of $62,705 per year, or $30.1 per hour.

AI for Quantum Operations Lead

QuEra Computing, Inc.

Boston, MA • On-site

Full-time

Re-posted 19 days ago

Job description

Role Summary
The AI for Quantum Operations Lead owns the roadmap and execution strategy for AI-assisted calibration, diagnostics, prediction, and recovery across quantum systems, ensuring that AI improves machine uptime, calibration speed, and operator decision-making while deterministic control and safety software remain authoritative.
Key Responsibilities
  • Define and drive the AI operations roadmap across calibration optimization, atom image/readout analysis, drift prediction, root-cause diagnosis, and recovery recommendation.
  • Partner with quantum systems, controls, software, hardware, and ML teams to identify high-value workflows where AI can safely propose, rank, predict, or optimize.
  • Establish the bounded-AI operating model: AI provides recommendations or constrained optimizations, while deterministic control software enforces timing, hardware limits, validation, rollback, and safety logic.
  • Prioritize AI pilots for Quokka, Calibration Manager, telemetry systems, readout pipelines, and QPU operations workflows.
  • Own requirements for dataset traceability, model validation, observability, offline replay, deployment gates, and operator-facing explainability.
  • Translate machine-performance pain points into measurable AI/ML objectives such as reduced calibration time, fewer failed jobs, faster recovery, improved readout quality, and better drift detection.
  • Coordinate cross-functional execution, staffing needs, milestones, risk reviews, and stakeholder communication.

Required Background
  • Strong technical leadership experience in AI/ML, controls, robotics, scientific instrumentation, or complex hardware operations.
  • Experience bringing ML models into production environments where reliability, safety, traceability, and human/operator trust matter.
  • Ability to work across software, hardware, physics, and operations teams.
  • Strong systems thinking; understands where AI should help, where deterministic software must remain in charge, and how to design the boundary between them.

Preferred Background
  • Experience with Bayesian optimization, active learning, time-series forecasting, computer vision, anomaly detection, or root-cause analysis.
  • Familiarity with calibration workflows, lab automation, telemetry systems, or hardware-in-the-loop validation.
  • Exposure to quantum computing, neutral atoms, optical systems, embedded control, or real-time systems.

Success Measures
  • Clear AI operations roadmap with owners, milestones, and safety gates.
  • First bounded AI pilots deployed into calibration or readout workflows.
  • Measurable reduction in calibration effort, diagnosis time, drift-related failures, or recovery time.
  • Strong governance around model validation, data provenance, deployment approval, and operator trust.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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