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Camera Operators Jobs in Boston, MA (NOW HIRING)

Varsity Tutors

Filmmaking Tutor

Lowell, MA · Remote

$40/hr

Guides students through writing screenplays, storyboarding scenes, operating cameras, setting up lighting, recording sound, and editing with software like Adobe Premiere or Final Cut Pro. Emphasizes ...

Varsity Tutors

Filmmaking Tutor

Somerville, MA · Remote

$40/hr

Guides students through writing screenplays, storyboarding scenes, operating cameras, setting up lighting, recording sound, and editing with software like Adobe Premiere or Final Cut Pro. Emphasizes ...

Symbotic

Fall Co-op: Perception R&D

Wilmington, MA · On-site

$15 - $35.75/hr

... cameras, 3D sensors, or point cloud processing tools (e.g., PCL). * Knowledge of Containerization : Experience with containerization tools such as Docker. * Knowledge of Robot Operating System (ROS ...

Symbotic

Fall Co-op: Perception R&D

Wilmington, MA · Hybrid

$15 - $35.75/hr

... cameras, 3D sensors, or point cloud processing tools (e.g., PCL). * Knowledge of Containerization : Experience with containerization tools such as Docker. * Knowledge of Robot Operating System (ROS ...

Varsity Tutors

Filmmaking Tutor

Boston, MA · Remote

$40/hr

Guides students through writing screenplays, storyboarding scenes, operating cameras, setting up lighting, recording sound, and editing with software like Adobe Premiere or Final Cut Pro. Emphasizes ...

Varsity Tutors

Filmmaking Tutor

Quincy, MA · Remote

$40/hr

Guides students through writing screenplays, storyboarding scenes, operating cameras, setting up lighting, recording sound, and editing with software like Adobe Premiere or Final Cut Pro. Emphasizes ...

Varsity Tutors

Filmmaking Tutor

Waltham, MA · Remote

$40/hr

Guides students through writing screenplays, storyboarding scenes, operating cameras, setting up lighting, recording sound, and editing with software like Adobe Premiere or Final Cut Pro. Emphasizes ...

Varsity Tutors

Filmmaking Tutor

Lynn, MA · Remote

$40/hr

Guides students through writing screenplays, storyboarding scenes, operating cameras, setting up lighting, recording sound, and editing with software like Adobe Premiere or Final Cut Pro. Emphasizes ...

Varsity Tutors

Filmmaking Tutor

Newton, MA · Remote

$40/hr

Guides students through writing screenplays, storyboarding scenes, operating cameras, setting up lighting, recording sound, and editing with software like Adobe Premiere or Final Cut Pro. Emphasizes ...

Roadrunner

CDL A Owner Operator Drivers

Boston, MA

$8K - $12K/wk

Contracting Owner Operators - Teams & Solos * Total control of your operation. Choose your lanes ... Drivers required to have inward facing cameras. Talk with a recruiter to confirm specific details.

Roadrunner

CDL A Owner Operator Drivers

Boston, MA

$8K - $12K/wk

Contracting Owner Operators - Teams & Solos * Total control of your operation. Choose your lanes ... Drivers required to have inward facing cameras. Talk with a recruiter to confirm specific details.

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Camera Operators information

See Boston, MA salary details

$14

$30

$67

How much do camera operators jobs pay per hour?

As of May 29, 2026, the average hourly pay for camera operators in Boston, MA is $30.60, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $33.17 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Camera Operator, and why are they important?

To excel as a Camera Operator, you need a solid understanding of camera equipment, shot composition, and lighting, often backed by a degree in film, broadcasting, or related experience. Familiarity with digital cameras, editing software, and stabilization systems is typically required. Creativity, attention to detail, and the ability to work well under pressure help Camera Operators capture compelling footage in dynamic environments. These skills ensure high-quality visual storytelling and adaptability to fast-paced production demands.

What are some common challenges camera operators face when working on live broadcasts or events?

Camera operators working on live broadcasts or events often face challenges such as adapting quickly to changing lighting conditions, following fast-moving subjects, and maintaining steady, high-quality shots under pressure. They must coordinate closely with directors, audio technicians, and other crew members to ensure seamless coverage. Time constraints and the unpredictability of live performances require strong technical skills and the ability to troubleshoot equipment issues on the fly. Effective communication and quick decision-making are essential in this fast-paced environment.

What are camera operators and what do they do?

Camera operators are professionals responsible for capturing visual images for television, film, live events, or video productions. They work with a variety of camera equipment to record scenes, ensuring proper framing, focus, and movement to achieve the desired artistic and technical outcomes. Camera operators often collaborate closely with directors, cinematographers, and other crew members to bring a creative vision to life. Their work may involve setting up camera angles, following action, and adjusting for lighting or environmental changes during shoots.

What is the difference between Camera Operators vs Videographers?

AspectCamera OperatorsVideographers
CredentialsOften require a high school diploma or equivalent; technical training or certification in camera operationSimilar credentials; may have formal education in film or media production
Work EnvironmentFilm sets, TV studios, live events, newsroomsIndependent or freelance settings, corporate videos, weddings, events
Industry UsagePrimarily employed by broadcasters, production companies, and studiosFreelancers or in-house professionals across various industries
Primary FocusOperating cameras during filming or broadcastingCapturing and editing video content, often handling multiple roles

While both Camera Operators and Videographers handle video recording, Camera Operators typically work in professional production environments focusing on operating cameras during filming or broadcasting. Videographers often work independently, capturing and editing videos for various clients or projects. The roles overlap in skills and credentials but differ mainly in work setting and scope of responsibilities.

What are popular job titles related to Camera Operators jobs in Boston, MA? For Camera Operators jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Camera Operators jobs in Boston, MA look for? The top searched job categories for Camera Operators jobs in Boston, MA are:
Camera Operators jobs near you
Infographic showing various Camera Operators job openings in Boston, MA as of May 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 41% Physical, 1% Hybrid, and 58% Remote job distribution, with an average salary of $63,645 per year, or $30.6 per hour.
Staff CV Applied Research Engineer, Edge AI

Staff CV Applied Research Engineer, Edge AI

SimpliSafe

Boston, MA • On-site

Full-time

Medical, Retirement

Posted 4 days ago

SimpliSafe rating

9.7

Company rating: 9.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 100 rated security

Job description

About SimpliSafe
SimpliSafe is a leading innovator in the home security industry, dedicated to making every home a safe home. With a mission to provide accessible and comprehensive security solutions, we design and build user-centric products that empower individuals and families to protect what matters most.
We believe in a collaborative and agile environment where learning and growth are continuous. Our teams are composed of talented individuals who are passionate about technology, security, and delivering exceptional customer experiences.
We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday - working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.
Why are we hiring?
Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.
About the Role
We are seeking a highly motivated and experienced Computer Vision Applied Research Engineer to join our growing Edge AI team. As a key contributor, you will lead development of on-device machine learning for outdoor monitoring in the home security space. You will build and optimize computer vision models that run in real time on resource-constrained embedded devices like outdoor cameras and doorbell cameras, balancing accuracy with latency, memory, power, and reliability in challenging conditions (night, weather, motion blur, occlusions).
Responsibilities:
  • Lead end-to-end development of edge ML models for outdoor monitoring (e.g., person/vehicle/package detection, classification, tracking, segmentation, event understanding).
  • Architect, train, and deploy transformer-based vision models (e.g., compact ViTs, hierarchical transformers, DETR-style detectors) and hybrid CNN-transformer backbones optimized for embedded inference.
  • Drive model efficiency through resource-aware design and training, including:
    • Architecture: Token/patch reduction, efficient attention variants, early-exit / conditional compute
    • Training: distillation from large transformer teachers to edge students
    • Compression: Quantization (PTQ/QAT), pruning, mixed precision, and operator-aware optimization
  • Translate product requirements into model targets (accuracy, FPS, memory footprint, power/thermal) and ensure models meet budgets on doorbell/outdoor camera hardware.
  • Partner with embedded/firmware and platform teams to integrate models into production pipelines; profile bottlenecks and improve end-to-end runtime performance.
  • Define evaluation strategies tailored to outdoor edge deployments; perform failure analysis and improve long-tail robustness (nighttime, rain/snow, backlight, fast motion).
  • Set technical direction and raise engineering standards: best practices for experimentation, reproducibility, model/version management, and deployment readiness; mentor other ML engineers.

Qualifications:
  • 8+ years in applied ML/ML engineering, including shipping production CV models.
  • Strong computer vision background with deep learning expertise across detection/classification/segmentation/tracking.
  • Hands-on experience with vision transformers and/or DETR-style architectures, including practical knowledge of efficiency trade-offs for edge deployment.
  • Demonstrated success deploying models in resource-constrained, real-time environments (embedded/mobile/IoT/edge).
  • Deep experience in model optimization: QAT/PTQ, distillation, pruning, compression, mixed precision, and hardware/runtime-aware training.
  • Proficiency in Python and PyTorch and/or TensorFlow; ability to productionize models and collaborate with systems engineers (C++ experience strongly preferred).
  • Staff-level leadership: ability to drive ambiguous initiatives, align stakeholders, and mentor engineers.

Bonus Points:
  • Expertise in efficient transformer techniques (e.g., attention approximations, windowed/local attention, KV caching where applicable, token merging, sparsity) and their deployment implications.
  • Experience building model "ladders" across multiple chipsets/device tiers with consistent KPIs and automated regression testing.
  • Experience with embedded inference tooling and runtimes (e.g., TFLite, ONNX Runtime, TensorRT) and model export/compatibility constraints.
  • Familiarity with embedded accelerators and profiling (ARM NEON, DSP/NPU toolchains), kernel/operator tuning, and real-time video pipelines.
  • Experience with long-tail data strategies (active learning, hard-negative mining) and edge reliability/telemetry feedback loops.

What Values You'll Share
  • Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
  • Aim High - Always challenging ourselves and others to raise the bar.
  • No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style.
  • One Team - Taking a highly collaborative approach to achieving success.
  • Lift As We Climb - Investing in developing others and helping others around us succeed.
  • Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.

What We Offer
  • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
  • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)
  • Free SimpliSafe system and professional monitoring for your home.
  • Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.

The target annual base pay range for this role is $183,300 to $268,800.
This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors.
Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here.
We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.
We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com.

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