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Seasonal Remote Data Annotation Jobs in Washington

ICF

On-call Software Engineer, Cloud Data Platform

Reston, VA · Remote

$119K - $143K/yr

This is a remote, on-call role that provides flexibility to work from 0 to 40 hours per week. About ... seasonal and project-specific nature of this work, ICF often hires professionals as "On-Call" ...

Dewberry

BIM Manager (Bentley)

Fairfax, VA · On-site +1

We are open to considering fully remote applicants. Dewberry is a leading, market-facing ... Manage ORD and OBM data environments and model health , including information governance strategy ...

Deckers

Inventory Management Analyst

Washington, DC · On-site +1

US (Remote) Interested applicants mustresidein one of the following approvedstates:Arizona ... You'll analyze inventory, supply, ATP, and product lifecycle data to identify risks, exceptions ...

Deckers

Merchandise Planner - MFP

Washington, DC · On-site +1

$66K - $89K/yr

Remote - US Interested applicants must reside in one of the following approved states: Arizona ... Develop strategic weekly sales plans that roll up to monthly and seasonal plans while supporting Go ...

Addison Group

Digital Coordinator

Bethesda, MD · Remote

$20/hr

Hybrid schedule -- onsite Monday, Tuesday, and Thursday; remote Wednesday and Friday | Standard ... Candidates should be comfortable working with data, learning new systems, and meeting strict ...

Deckers

Sr. Merchandiser - US Teva Wholesale

Washington, DC · On-site +1

$79K - $107K/yr

Remote - US Interested applicants must reside in one of the following approved states: Arizona ... Strong analytical skills with advanced proficiency in Excel, retail math, and data-driven decision ...

ASCENSUS

Call Center Representative

Washington, DC · Remote

$19/hr

These positions are 100% fully remote**** Video Interview Process: As part of our Call Center ... Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus ...

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All JobsData Annotation JobsSeasonal Remote Data Annotation JobsSeasonal Remote Data Annotation Jobs in Washington

Seasonal Remote Data Annotation information

What is a seasonal remote data annotation job?

Seasonal remote data annotation jobs involve labeling and categorizing data—such as images, text, or audio—from home during busy periods when companies need extra help. These positions are typically temporary and align with peak business seasons or special projects. Data annotation is essential for training artificial intelligence and machine learning models to accurately interpret information. Working remotely in this role allows for flexible hours and the ability to contribute from anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a seasonal remote data annotation specialist?

To thrive as a Seasonal Remote Data Annotation Specialist, you need strong attention to detail, basic computer literacy, and the ability to follow complex guidelines, typically supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes specialized software like image or text tagging systems is often required. Excellent time management, self-motivation, and clear written communication are critical soft skills for remote work success. These abilities ensure high-quality, accurate data output that supports machine learning projects and meets project deadlines.

What are some common challenges faced in a seasonal remote data annotation role, and how can they be managed?

Seasonal remote data annotation roles often require adapting quickly to fluctuating workloads and new annotation guidelines as projects change. Job seekers may find it challenging to maintain consistent accuracy and productivity while working independently from home, especially when handling repetitive tasks. To manage these challenges, it's helpful to establish a structured daily routine, stay updated on project instructions, and actively communicate with team leads or fellow annotators for clarification. Additionally, utilizing project management tools and regularly reviewing feedback can help maintain high-quality output throughout the season.

What is the difference between Seasonal Remote Data Annotation vs Data Labeling Specialist?

AspectSeasonal Remote Data AnnotationData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with familiarity in labeling tools
Work EnvironmentRemote, project-based, seasonalRemote or on-site, ongoing or project-based
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, computer vision
Search IntentSeasonal remote data annotation jobsData labeling jobs

Seasonal Remote Data Annotation involves short-term, project-based tasks focused on annotating data for AI models, often during peak seasons. Data Labeling Specialists may work year-round, providing ongoing data annotation services. While both roles require similar skills and tools, Seasonal Remote Data Annotation is typically temporary and tied to specific projects, whereas Data Labeling Specialists may have more continuous responsibilities.

What are popular job titles related to Seasonal Remote Data Annotation jobs in Washington?

For Seasonal Remote Data Annotation jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Seasonal Remote Data Annotation jobs in Washington look for?

The top searched job categories for Seasonal Remote Data Annotation jobs in Washington are:

What cities in Washington are hiring for Seasonal Remote Data Annotation jobs?

Cities in Washington with the most Seasonal Remote Data Annotation job openings:

Seasonal Remote Data Annotation jobs near you

On-call Software Engineer, Cloud Data Platform

Reston, VA • Remote

ICF
Business Management Consulting • 5 - 10K employees
Learn more about ICFexternal

$119K - $143K/yr

Part-time

Posted 13 days ago

Key responsibilities

  • Build, enhance, and support a cloud-hosted relational database platform for acoustic-telemetry fish-tracking data.

  • Develop and maintain data ingestion workflows, relational data models, validation logic, and data quality controls.

  • Create reporting views, exports, APIs, and support platform operations during go-live and ongoing hosting.

Job description

ICF's Technology and Products team is seeking a On-call Software Engineer, Cloud Data Platform to help build, enhance, and support a cloud-hosted relational database platform for acoustic-telemetry fish-tracking research in California's Sacramento-San Joaquin Delta.

This role will focus on the core engineering work needed to turn post-processed fish detection data into reliable, usable data products, including ingestion pipelines, relational data models, validation logic, reporting views, exports, APIs, and production support.

You will work alongside fish biologists, data scientists, senior engineers, and a state agency client to move the platform from design through go-live and into production support. This is a hands-on engineering role where you will contribute to platform design, implementation, and operations with guidance from senior technical leads.

This is a remote, on-call role that provides flexibility to work from 0 to 40 hours per week.

About On-Call Employment with ICF

Given the seasonal and project-specific nature of this work, ICF often hires professionals as "On-Call" employees. On-Call employees are scheduled for work hours as they become available. ICF usually schedules work hours a few weeks ahead of time, and each on-call employee is free to accept or refuse the hours assigned to them in a given week. On-Call employees may work concurrent projects outside their ICF assignment as long as the outside work does not create a conflict of interest.

Key ResponsibilitiesPlatform, data, and operations

  • Translate scientific, regulatory, and analytical needs into clear technical requirements in partnership with biologists, data scientists, agency staff, client stakeholders, and senior technical team members.

  • Contribute to the design, build, and support of a cloud-hosted relational database platform for acoustic-telemetry fish-tracking data.

  • Build and maintain relational data models, ingestion workflows, ETL/ELT pipelines, validation logic, and data quality controls for high-volume telemetry detection data.

  • Develop reporting views, aggregations, exports, APIs, and structured access patterns that support downstream modeling, analysis, and non-SQL users.

  • Support platform performance, security, access controls, monitoring, backups, retention, documentation, and production operations during go-live and ongoing hosting.

  • Help support a natural-language query interface by contributing to schema grounding, result validation, access safeguards, and accuracy guardrails.

Basic Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field is required.

  • 5+ years of professional software engineering experience, including hands-on experience with relational database systems such as PostgreSQL, SQL Server, Azure SQL, or similar platforms.

  • Hands-on experience supporting or contributing to cloud-hosted data platforms on AWS, Azure, or GCP.

  • Strong SQL skills and experience with relational data modeling, data ingestion pipelines, ETL/ELT, and data quality validation.

  • Proficiency in at least one modern backend language such as Python, TypeScript/Node, C#, or Java.

  • Experience building or maintaining APIs, export capabilities, or reporting views that make structured data available to technical and non-technical users.

  • Ability to work independently with guidance, collaborate on a remote team, and communicate clearly with non-engineering collaborators, including scientists, analysts, and client stakeholders.

Preferred Skills / Experience

  • Experience working with environmental, scientific, telemetry, sensor, time-series, or geospatial datasets; familiarity with acoustic telemetry or fisheries data is a plus.

  • Exposure to large language models, natural-language interfaces, or tools that make structured data easier for non-technical users to access.

  • Familiarity with public-sector clients or working under state or federal contracts.

  • Experience with infrastructure as code, CI/CD, observability, monitoring, or operational support tooling.

  • Experience supporting multidisciplinary teams that include biologists, researchers, quantitative modelers, analysts, data scientists, or subject matter experts.


Bot and Third-Party Applications

Please note that this application must be submitted directly by the applicant for consideration.Failure to do so may result in the application being excluded for consideration.Applicants needing an accommodation for disability or religious purposes in connection with the application process should contactCandidateaccommodation@icf.comfor assistance.

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$98,614.00 - $167,644.00Nationwide Remote Office (US99)

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