Deployment Engineer
OR · On-site +1
$100K/yr
Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...
Deployment Engineer
OR · On-site +1
$100K/yr
Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...
Remote Video Labelling information
What are the key skills and qualifications needed to thrive as a Remote Video Labelling Specialist, and why are they important?
To thrive as a Remote Video Labelling Specialist, attention to detail, basic computer proficiency, and a high school diploma or equivalent are generally required. Familiarity with annotation tools, video editing software, and data labeling platforms is typically expected, with some roles preferring experience in machine learning or data management systems. Strong time management, focus, and effective communication skills help individuals excel in independent, deadline-driven environments. These skills ensure accurate data labeling, which is crucial for training high-quality AI and machine learning models.
What are some common challenges faced by remote video labelling professionals, and how can they be managed?
Remote video labelling professionals often encounter challenges such as staying focused during repetitive tasks, ensuring accuracy when identifying subtle visual details, and managing communication with team members across different time zones. To address these, it's helpful to set up a distraction-free workspace, take regular breaks to maintain concentration, and use collaborative tools to stay connected with supervisors and peers. Additionally, following established labelling guidelines and participating in quality assurance sessions can help maintain consistency and accuracy in your work.
What is remote video labelling?
Remote video labelling is the process of watching video footage and accurately annotating or tagging objects, actions, or events within the video, all while working from a remote location, usually from home. This work is essential for training machine learning and AI models, particularly in fields like autonomous vehicles, security, and content moderation. Video labellers use specialized software to mark frames and provide metadata that helps computers understand visual information. Attention to detail and consistency are crucial in this job to ensure high-quality labelled data.
What is the difference between Remote Video Labelling vs Remote Image Annotation?
| Aspect | Remote Video Labelling | Remote Image Annotation |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote, flexible hours | Remote, flexible hours |
| Industry Usage | Autonomous vehicles, surveillance, AI training | Object detection, medical imaging, retail |
| Search & Comparison Intent | Understanding differences in data labeling roles | Understanding differences in annotation tasks |
Remote Video Labelling involves annotating video data frame-by-frame, often requiring temporal consistency, while Remote Image Annotation focuses on labeling individual images. Both roles are remote, require attention to detail, and are used in AI training across various industries. The main difference lies in the data type: videos versus images, with video labelling demanding more complex, time-sensitive annotations.
What are the most commonly searched types of Video Labelling jobs in Oregon? The most popular types of Video Labelling jobs in Oregon are:
What are popular job titles related to Remote Video Labelling jobs in Oregon? For Remote Video Labelling jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Video Labelling jobs in Oregon look for? The top searched job categories for Remote Video Labelling jobs in Oregon are:
What cities in Oregon are hiring for Remote Video Labelling jobs? Cities in Oregon with the most Remote Video Labelling job openings:
$100K/yr
Other
Medical, Dental, Vision, Retirement, PTO
Posted 26 days ago
Job description
Array is a financial innovation platform that helps digital brands, financial institutions, and fintechs get compelling consumer products to market faster. We deliver a suite of credit and identity monitoring tools, privacy protection, and a financial ads marketplace via embeddable widgets or a clean, modern API. Our private label offerings help drive revenue and increase engagement for our customers while empowering millions of consumers to achieve their financial goals.
As a remote-first company, we're focused on providing opportunities for high performing individuals to have deep impact in the fast growing fintech space. A clear mission, a commitment to continuous improvement and a willingness to experiment empower us individually and together deliver the best products for our clients and users.
As a Deployment Engineer at Array, you will work with SaaS products and solutions in a post-sales capacity, while working with cross functional partners to ensure our strategy and technical visions are incorporated into the client delivery. This role will report directly to our Senior Deployment Engineer.
You Will:
- Be highly organized - Drive revenue impact by leading 8-14 project deployments per quarter, contributing an average of $500K-$1M in deployed eARR once fully ramped (expected within 90 days).
- Execute and optimize deployments by owning end-to-end implementation processes and collaborating with internal teams to ensure timely delivery.
- Enhance operational efficiency by identifying and implementing process improvements, tooling enhancements, and automation.
- Partner across teams by working closely with Engineering and Product to stay current on product updates, provide feedback, and contribute to roadmap alignment.
- Contribute to knowledge sharing by documenting deployment processes, updates, and best practices.
- Support strategic scalability by helping address high pipeline demand, ensuring future quarters maintain delivery velocity while mitigating at-risk eARR.
- Maintain a habit of using AI tools to think, build, and ship faster-it's your default, not an afterthought.
You Have:
- 5+ years of deployment, implementation, or systems engineering experience in SaaS or enterprise software, with proven ability to manage complex projects.
- Strong technical acumen, with the ability to learn and apply product knowledge and experience interfacing with APIs, SDKs, or cloud platforms.
- Track record of process improvement, including developing documentation, automation, or internal tools to streamline and accelerate team output.
- Excellent cross-functional collaboration skills, with experience working alongside engineering, product, and customer-facing teams.
- Proven ability to ramp up quickly, demonstrating independence and ownership within 60 days.
- Results-oriented mindset, with an understanding of how technical deployments contribute to commercial goals.
- A belief that AI is reshaping work, you instinctively use it to accelerate everything you do.
Pay transparency: $100,000+ for base salary, depending on experience.
Expected interview process: Recruiter Conversation - Hiring Manager Interview - Loop round: Client Engagement, How We Work, Technical Interview; short video submission.
Array Offers All Full Time Employees the following Benefits and Perks:
- Full medical, dental, and vision, premiums covered at 100% for full-time employees and 70% for dependents
- Unlimited PTO and sick leave + 14 company holidays to encourage a healthy work-life blend
- 100% 401k match up to 4% with immediate vesting
- Generous and competitive parental leave for all parents
- $1,000 desk setup subsidy to set-up your unique remote office
- $100/month to subsidize wifi/cell phone expenses
- Summer Fridays (half-day Fridays) typically from late May to the end of August
- AnniversArray Kits for work anniversaries
- Commuter benefits for those who choose to go into our New York City or San Francisco office spaces
Not sure if you meet the Qualifications? We know that folks tend to only apply if they check every box. If you think you have the appropriate qualifications, but don't meet every single one, we encourage you to still apply. We'd love to hear from you.
We are proud to be an equal opportunity workplace; we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Array will provide reasonable accommodations to qualified applicants-if you need an accommodation to participate in the application or interview process, please email talent@array.com to make your request.
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